{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "source": [ "# **PROJECT-5. Анализ поведения пользователей и оценка эффективности каналов их привлечения.**" ], "metadata": { "id": "pk5xyu-77uC7" } }, { "cell_type": "markdown", "source": [ "**Цель проекта:** используя данные фронтовой аналитики из AppMetrica проанализировать поведение пользователей сервиса по доставке продуктов на дом, а также оценить эффективность каналов их привлечения в 1 кв. 2020г." ], "metadata": { "id": "5SpPKS0d8LFY" } }, { "cell_type": "markdown", "source": [ "**Задачи проекта:**\n", "\n", "\n", "\n", "1. Оценить эффективность каналов привлечения.\n", "2. Проанализировать воронку продаж.\n", "3. Провести когортный анализ пользователей приложения." ], "metadata": { "id": "5StPvPVx95ry" } }, { "cell_type": "markdown", "source": [ "**Выполнил:** студент группы DAPR-80 Верба Александр." ], "metadata": { "id": "nnBR4C6t_bc8" } }, { "cell_type": "markdown", "source": [ "*Для анализа каналов привлечения пользователей и их поведения в приложении будем использовать данные, выгруженные из AppMetrica за период с 1 января по 31 марта 2020г. (по пользователям, зарегистрированным позднее 1 января 2020г.). Файл выгрузки называется \"SF_case_data.csv\".*" ], "metadata": { "id": "WYzq9_t-_geB" } }, { "cell_type": "markdown", "source": [ "**1. Оценка эффективности каналов привлечения.**\n", "\n", "\n", "Для начала импортируем библиотеку Pandas, необходимую для создания DataFrame из имеющихся данных. Прочитаем данные из файла в переменную *df.*\n", "\n", "Ознакомимся с полученной таблицей на примере первых пяти записей и, прежде чем перейти непосредственно к решению задач, проведём исследование данных." ], "metadata": { "id": "dMZUVXdRAy_Q" } }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 501 }, "id": "KUcAQO_fR3Wo", "outputId": "245e9c38-6bfb-4844-b58d-367179f2ec0d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date event purchase_sum os_name device_id gender \\\n", "0 2020-01-01 app_start NaN android 669460 female \n", "1 2020-01-01 app_start NaN ios 833621 male \n", "2 2020-01-01 app_start NaN android 1579237 male \n", "3 2020-01-01 app_start NaN android 1737182 female \n", "4 2020-01-01 app_start NaN ios 4029024 female \n", "\n", " city utm_source \n", "0 Moscow - \n", "1 Moscow vk_ads \n", "2 Saint-Petersburg referal \n", "3 Moscow facebook_ads \n", "4 Moscow facebook_ads " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dateeventpurchase_sumos_namedevice_idgendercityutm_source
02020-01-01app_startNaNandroid669460femaleMoscow-
12020-01-01app_startNaNios833621maleMoscowvk_ads
22020-01-01app_startNaNandroid1579237maleSaint-Petersburgreferal
32020-01-01app_startNaNandroid1737182femaleMoscowfacebook_ads
42020-01-01app_startNaNios4029024femaleMoscowfacebook_ads
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "\n", "RangeIndex: 2747968 entries, 0 to 2747967\n", "Data columns (total 8 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 date 2747968 non-null object \n", " 1 event 2747968 non-null object \n", " 2 purchase_sum 141383 non-null float64\n", " 3 os_name 2747968 non-null object \n", " 4 device_id 2747968 non-null int64 \n", " 5 gender 2747968 non-null object \n", " 6 city 2747968 non-null object \n", " 7 utm_source 2747968 non-null object \n", "dtypes: float64(1), int64(1), object(6)\n", "memory usage: 167.7+ MB\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "None" ] }, "metadata": {} } ], "source": [ "import pandas as pd\n", "\n", "df = pd.read_csv('SF_case_data.csv', low_memory = False)\n", "display(df.head())\n", "print()\n", "display(df.info(show_counts=True))" ] }, { "cell_type": "markdown", "source": [ "Получив информацию о таблице отметим, что ячейки не имеют пропущенных значений (кроме ячеек с суммой заказа, данные в которых заполнены только для события \"покупка\"). Однако не все значения имеют подходящие нам типы данных - дата события относится к типу object, приведём её к типу дата, а так же заменим в столбце с источниками привлечения значение \"-\" (не определен) на более подходящее \"not_defined\"." ], "metadata": { "id": "TXSjomkrZCKH" } }, { "cell_type": "code", "source": [ "df['date'] = pd.to_datetime(df['date'])\n", "df = df.replace({'utm_source': {'-':'not_defined'}})" ], "metadata": { "id": "9ATk_Y5VZFGR" }, "execution_count": 6, "outputs": [] }, { "cell_type": "markdown", "source": [ "Сформируем сводную таблицу *events_df,* содержащую информацию об общем количестве событий в приложении по дням. Для визуализации полученных результатов используем график из модуля plotly.graph_objects библиотеки plotly. По оси абсцисс расположим даты, по оси ординат - количество событий. Импортируем необходимую библиотеку." ], "metadata": { "id": "aDsQRqNBEeb5" } }, { "cell_type": "code", "source": [ "events_df = df.groupby('date').agg(events_count=('event', 'count')).reset_index()\n", "display(events_df.head())\n", "print()\n", "print('Ответ на вопрос Задания 1.1.1: Больше всего событий было {}.'.format(events_df.iloc[events_df['events_count'].argmax(), 0].strftime('%d-%m-%Y')))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 241 }, "id": "ns68qciJAvAI", "outputId": "3a512c7d-9a28-43b0-a562-0011719a249f" }, "execution_count": 7, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date events_count\n", "0 2020-01-01 19781\n", "1 2020-01-02 21640\n", "2 2020-01-03 20861\n", "3 2020-01-04 19152\n", "4 2020-01-05 21716" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dateevents_count
02020-01-0119781
12020-01-0221640
22020-01-0320861
32020-01-0419152
42020-01-0521716
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на вопрос Задания 1.1.1: Больше всего событий было 10-01-2020.\n" ] } ] }, { "cell_type": "code", "source": [ "import plotly.graph_objs as go\n", "import plotly.io as pio\n", "pio.renderers.default='notebook'\n", "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=events_df['date'], y=events_df['events_count']))\n", "fig.update_layout(height=600, width=1200,\n", " legend_orientation=\"v\",\n", " legend=dict(x=1, xanchor=\"center\"),\n", " title_text='Динамика событий по дням в 1 кв. 2020г.',\n", " yaxis=dict(title='Количество событий, шт.'),\n", " xaxis=dict(title='Дата'))\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "ESvOBkjtTbLv", "outputId": "c438bcdd-441c-46fc-be93-7b72f6d71d03" }, "execution_count": 8, "outputs": [ { "output_type": "display_data", "data": { "text/html": [ " \n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***Отметим, что график имеет выраженные взлёты активности пользователей:*** после окончания затяжных новогодних каникул, в конце рабочих недель и в преддверии праздников. Можно предположить, что пользователи искали возможность приобрести продукты на выходные, так как в зимнюю плохую погоду и в связи с набирающей обороты эпидемией предпочитали оставаться дома. Эти резкие скачки активности могли произойти как за счёт действующих клиентов, так и в результате привлечения новых заинтересованных пользователей. Чтобы детальнее разобраться в ситуации посмотрим на динамику установок и привлечения пользователей." ], "metadata": { "id": "YgibpebSc2r5" } }, { "cell_type": "markdown", "source": [ "Для определения динамики установок приложения создадим сводную таблицу *installs_daily_df,* в которой подсчитаем количество установок по дням в разрезе источников привлечения. Для визуализации полученных результатов используем график. По оси абсцисс расположим даты, по оси ординат - количество установок приложения в разрезе каналов привлечения." ], "metadata": { "id": "q00MO0dFCUWg" } }, { "cell_type": "code", "source": [ "installs_daily_df = pd.pivot_table(df[df['event'] == 'app_install'], values=['event'], index=['date'], columns=['utm_source'], aggfunc=len).reset_index()\n", "installs_daily_df = installs_daily_df.droplevel(1, axis=1)\n", "installs_daily_df.columns = ['date', 'facebook_ads', 'google_ads', 'instagram_ads',\t'not_defined', 'referal', 'vk_ads', 'yandex-direct']\n", "display(installs_daily_df.head())\n", "print()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 224 }, "id": "oEBa29bEbmyI", "outputId": "8ba5d268-c911-4443-a2c3-8d397864b4e5" }, "execution_count": 115, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date facebook_ads google_ads instagram_ads not_defined referal \\\n", "0 2020-01-01 337 617 422 761 218 \n", "1 2020-01-02 277 525 408 674 207 \n", "2 2020-01-03 200 427 303 514 140 \n", "3 2020-01-04 161 330 245 387 90 \n", "4 2020-01-05 160 304 197 335 108 \n", "\n", " vk_ads yandex-direct \n", "0 555 669 \n", "1 463 590 \n", "2 360 458 \n", "3 275 343 \n", "4 249 318 " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
datefacebook_adsgoogle_adsinstagram_adsnot_definedreferalvk_adsyandex-direct
02020-01-01337617422761218555669
12020-01-02277525408674207463590
22020-01-03200427303514140360458
32020-01-0416133024538790275343
42020-01-05160304197335108249318
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n" ] } ] }, { "cell_type": "code", "source": [ "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['not_defined'], name='not defined'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['yandex-direct'], name='yandex-direct'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['google_ads'], name='google_ads'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['vk_ads'], name='vk_ads'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['instagram_ads'], name='instagram_ads'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['facebook_ads'], name='facebook_ads'))\n", "fig.add_trace(go.Scatter(x=installs_daily_df['date'], y=installs_daily_df['referal'], name='referal'))\n", "fig.update_layout(height=600, width=1200,\n", " legend_orientation=\"v\",\n", " legend=dict(x=1, xanchor=\"center\"),\n", " title_text='Динамика установок приложения в 1 кв. 2020г. по каналам привлечения',\n", " yaxis=dict(title='Количество установок, раз'),\n", " xaxis=dict(title='Дата'))\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "rkyDYRTwjpnB", "outputId": "e260c5c5-cc8b-4a1b-e56a-c139bc24a938" }, "execution_count": 163, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "name": "not defined", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 761, 674, 514, 387, 335, 337, 264, 228, 300, 2704, 967, 486, 989, 1119, 920, 665, 577, 492, 454, 426, 383, 235, 445, 259, 211, 185, 159, 217, 285, 476, 413, 348, 292, 319, 261, 270, 238, 212, 257, 258, 205, 223, 263, 389, 889, 472, 281, 275, 217, 240, 178, 529, 394, 204, 134, 97, 122, 106, 127, 125, 159, 87, 103, 101, 72, 1367, 643, 235, 139, 129, 110, 140, 107, 101, 95, 76, 79, 250, 326, 281, 251, 254, 361, 382, 362, 279, 272, 232, 239, 215, 221 ], "type": "scatter" }, { "name": "yandex-direct", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 669, 590, 458, 343, 318, 259, 247, 212, 263, 2493, 838, 489, 870, 948, 812, 651, 493, 461, 420, 385, 345, 198, 375, 253, 166, 150, 134, 191, 279, 391, 354, 306, 279, 284, 282, 246, 211, 219, 226, 240, 216, 183, 227, 347, 803, 435, 255, 189, 204, 264, 177, 522, 364, 200, 132, 120, 104, 90, 101, 109, 136, 98, 87, 84, 81, 1220, 581, 217, 133, 121, 115, 164, 83, 86, 88, 65, 81, 229, 275, 276, 235, 228, 298, 371, 331, 282, 227, 200, 219, 185, 182 ], "type": "scatter" }, { "name": "google_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 617, 525, 427, 330, 304, 242, 204, 184, 233, 2256, 787, 412, 808, 894, 717, 557, 443, 359, 388, 362, 299, 171, 347, 203, 178, 142, 127, 139, 259, 458, 338, 265, 248, 249, 229, 216, 213, 188, 177, 174, 189, 193, 192, 333, 725, 397, 222, 197, 178, 214, 147, 429, 317, 157, 137, 110, 90, 94, 75, 107, 101, 80, 87, 80, 76, 1051, 470, 198, 126, 113, 85, 121, 99, 81, 84, 67, 79, 194, 222, 228, 193, 221, 331, 316, 334, 230, 177, 163, 197, 148, 162 ], "type": "scatter" }, { "name": "vk_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 555, 463, 360, 275, 249, 261, 209, 191, 206, 1972, 714, 381, 657, 761, 631, 543, 407, 343, 340, 327, 266, 160, 317, 190, 145, 124, 121, 178, 219, 316, 294, 238, 217, 241, 216, 203, 177, 144, 167, 170, 177, 165, 180, 278, 614, 322, 201, 163, 132, 190, 145, 386, 302, 141, 98, 86, 88, 86, 60, 84, 87, 60, 83, 52, 67, 927, 430, 158, 113, 91, 91, 103, 74, 70, 79, 50, 50, 159, 189, 200, 200, 192, 245, 273, 289, 212, 178, 180, 152, 138, 151 ], "type": "scatter" }, { "name": "instagram_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 422, 408, 303, 245, 197, 198, 173, 172, 177, 1686, 578, 303, 573, 680, 553, 420, 388, 299, 295, 268, 254, 138, 279, 168, 130, 89, 93, 145, 207, 301, 267, 203, 211, 161, 173, 185, 148, 155, 160, 161, 131, 139, 177, 223, 561, 275, 176, 141, 136, 154, 98, 330, 256, 149, 93, 86, 87, 73, 55, 89, 77, 63, 47, 60, 46, 833, 366, 150, 86, 59, 69, 86, 56, 38, 53, 52, 66, 168, 190, 197, 164, 159, 225, 238, 243, 187, 162, 160, 132, 151, 118 ], "type": "scatter" }, { "name": "facebook_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 337, 277, 200, 161, 160, 117, 134, 101, 143, 1215, 383, 219, 402, 481, 404, 274, 265, 219, 226, 195, 152, 88, 166, 110, 83, 81, 64, 85, 119, 217, 186, 125, 147, 118, 127, 114, 121, 100, 114, 103, 97, 117, 99, 156, 364, 197, 126, 73, 92, 110, 52, 240, 182, 114, 70, 56, 54, 46, 53, 57, 50, 35, 38, 46, 33, 580, 259, 88, 69, 59, 48, 59, 46, 36, 50, 31, 48, 97, 118, 126, 119, 135, 139, 166, 161, 130, 99, 88, 109, 94, 72 ], "type": "scatter" }, { "name": "referal", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 218, 207, 140, 90, 108, 74, 67, 66, 102, 780, 256, 149, 272, 290, 273, 196, 164, 131, 134, 134, 127, 67, 122, 92, 57, 41, 60, 57, 88, 142, 113, 99, 99, 111, 89, 89, 64, 68, 75, 85, 68, 56, 61, 118, 232, 125, 79, 60, 59, 71, 42, 140, 86, 51, 63, 38, 26, 37, 37, 47, 41, 30, 21, 29, 36, 380, 185, 52, 37, 44, 31, 36, 34, 31, 29, 19, 28, 74, 86, 100, 73, 72, 93, 104, 104, 75, 84, 68, 69, 63, 62 ], "type": "scatter" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "legend": { "orientation": "v", "x": 1, "xanchor": "center" }, "title": { "text": "Динамика установок приложения в 1 кв. 2020г. по каналам привлечения" }, "height": 600, "width": 1200, "yaxis": { "title": { "text": "Количество установок, раз" } }, "xaxis": { "title": { "text": "Дата" } } }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Из графика видно, что все каналы показывают схожую между собой динамику установок как в дни наибольшей активности, так и в другие периоды, а пиковые дни инсталлов совпадают с пиками активности пользователей в приложении." ], "metadata": { "id": "wi4jnQxVhnjh" } }, { "cell_type": "markdown", "source": [ "Посмотрим на итоговую результативность каналов привлечения по количеству установок приложения в рассматриваемом периоде. Для этого создадим сводную таблицу *installs_df,* в которой подсчитаем количество установок в разрезе источников привлечения. Отсортируем её по убыванию количества установок и добавим столбец с долей каждого источника привлечения. Для визуализации полученных результатов используем столбчатую диаграмму из модуля plotly.graph_objects библиотеки plotly. По оси абсцисс расположим каналы привлечения, по оси ординат - количество установок приложения." ], "metadata": { "id": "KPMjFtaFT12M" } }, { "cell_type": "code", "source": [ "installs_df = pd.pivot_table(df[df['event'] == 'app_install'], values=['device_id'], index=['utm_source'], aggfunc='nunique').reset_index()\n", "installs_df.rename({'device_id': 'installs_count'}, axis=1, inplace=True)\n", "installs_df = installs_df.sort_values('installs_count', ignore_index=True, ascending=False)\n", "installs_df['installs_ratio'] = round(installs_df['installs_count'] * 100 / installs_df['installs_count'].sum(), 1)\n", "display(installs_df)\n", "print()\n", "print('Ответ на первый вопрос Задания 1.1.4: С канала \"{}\" было больше всего инсталлов.'.format(installs_df['utm_source'][1]))" ], "metadata": { "id": "LUUQ4_vpX5C6", "colab": { "base_uri": "https://localhost:8080/", "height": 304 }, "outputId": "cf8709e0-55a2-4fca-e677-ca9edb1c128f" }, "execution_count": 117, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " utm_source installs_count installs_ratio\n", "0 not_defined 32460 21.0\n", "1 yandex-direct 29368 19.0\n", "2 google_ads 26286 17.0\n", "3 vk_ads 23189 15.0\n", "4 instagram_ads 20096 13.0\n", "5 facebook_ads 13916 9.0\n", "6 referal 9282 6.0" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
utm_sourceinstalls_countinstalls_ratio
0not_defined3246021.0
1yandex-direct2936819.0
2google_ads2628617.0
3vk_ads2318915.0
4instagram_ads2009613.0
5facebook_ads139169.0
6referal92826.0
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на первый вопрос Задания 1.1.4: С канала \"yandex-direct\" было больше всего инсталлов.\n" ] } ] }, { "cell_type": "code", "source": [ "fig = go.Figure(data=[go.Bar(\n", " x=installs_df['utm_source'], y=installs_df['installs_count'],\n", " text = installs_df['installs_count'],\n", " texttemplate = '%{value:,.0f}',\n", " marker_color='#1f77b4'\n", ")])\n", "fig.update_traces(textfont_size=12, textangle=0, textposition=\"outside\")\n", "fig.update_layout(height=600, width=1200, xaxis_tickangle=-45,\n", " title_text='Количество установок приложения в 1 кв. 2020г. по каналам привлечения', \n", " yaxis=dict(title='Количество установок приложения, раз'), \n", " xaxis=dict(title='Канал привлечения', dtick = 1), \n", " showlegend=False)\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "8wrj9MbIbdTZ", "outputId": "fce21a9f-bacc-4c40-f8eb-0612a94e3caa" }, "execution_count": 118, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "marker": { "color": "#1f77b4" }, "text": [ 32460, 29368, 26286, 23189, 20096, 13916, 9282 ], "texttemplate": "%{value:,.0f}", "x": [ "not_defined", "yandex-direct", "google_ads", "vk_ads", "instagram_ads", "facebook_ads", "referal" ], "y": [ 32460, 29368, 26286, 23189, 20096, 13916, 9282 ], "type": "bar", "textfont": { "size": 12 }, "textangle": 0, "textposition": "outside" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "tickangle": -45, "title": { "text": "Канал привлечения" }, "dtick": 1 }, "title": { "text": "Количество установок приложения в 1 кв. 2020г. по каналам привлечения" }, "height": 600, "width": 1200, "yaxis": { "title": { "text": "Количество установок приложения, раз" } }, "showlegend": false }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***Из всех платных каналов привлечения по количеству установок приложения лидируют Яндекс, Гугл и ВК (их доли в общем объёме установок 19%, 17% и 15% соответственно), а аутсайдером выступает реферальная программа (с долей в 6%).***" ], "metadata": { "id": "ywu-fFhQV1Ky" } }, { "cell_type": "markdown", "source": [ "Теперь определим динамику привлечения новых пользователей. Для этого создадим сводную таблицу *first_starts_daily_df,* в которой подсчитаем количество первых открытий по дням в разрезе источников привлечения. Чтобы учесть только первые открытия для каждого *device_id,* отсортируем данные исходной таблицы по дате открытия приложения по возрастанию и удалим строки с вторыми и последующими совпадающими *device_id.* Для визуализации полученных результатов используем график. По оси абсцисс расположим даты, по оси ординат - количество первых открытий приложения в разрезе каналов привлечения." ], "metadata": { "id": "gx0KtdyQi2HC" } }, { "cell_type": "code", "source": [ "first_starts_daily_df = pd.pivot_table(df[df['event'] == 'app_start'].sort_values('date').drop_duplicates('device_id'), values=['event'], index=['date'], columns=['utm_source'], aggfunc=len, fill_value=0).reset_index()\n", "first_starts_daily_df = first_starts_daily_df.droplevel(1, axis=1)\n", "first_starts_daily_df.columns = ['date', 'facebook_ads', 'google_ads', 'instagram_ads',\t'not_defined', 'referal', 'vk_ads', 'yandex-direct']\n", "display(first_starts_daily_df.head())\n", "print()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 224 }, "id": "-lub194qqI6h", "outputId": "a80e5019-103e-4c6f-8e3d-9591c898e73b" }, "execution_count": 119, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date facebook_ads google_ads instagram_ads not_defined referal \\\n", "0 2020-01-01 465 722 537 956 284 \n", "1 2020-01-02 376 615 529 843 286 \n", "2 2020-01-03 276 504 363 649 199 \n", "3 2020-01-04 225 393 307 483 135 \n", "4 2020-01-05 214 344 257 450 136 \n", "\n", " vk_ads yandex-direct \n", "0 693 788 \n", "1 550 694 \n", "2 444 551 \n", "3 340 417 \n", "4 304 376 " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
datefacebook_adsgoogle_adsinstagram_adsnot_definedreferalvk_adsyandex-direct
02020-01-01465722537956284693788
12020-01-02376615529843286550694
22020-01-03276504363649199444551
32020-01-04225393307483135340417
42020-01-05214344257450136304376
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n" ] } ] }, { "cell_type": "code", "source": [ "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['not_defined'], name='not defined'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['yandex-direct'], name='yandex-direct'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['google_ads'], name='google_ads'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['vk_ads'], name='vk_ads'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['instagram_ads'], name='instagram_ads'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['facebook_ads'], name='facebook_ads'))\n", "fig.add_trace(go.Scatter(x=first_starts_daily_df['date'], y=first_starts_daily_df['referal'], name='referal'))\n", "fig.update_layout(height=600, width=1200,\n", " legend_orientation=\"v\",\n", " legend=dict(x=1, xanchor=\"center\"),\n", " title_text='Динамика первых открытий приложения в 1 кв. 2020г. по каналам привлечения',\n", " yaxis=dict(title='Количество первых открытий приложения, раз'),\n", " xaxis=dict(title='Дата'))\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "58LG1nbUrAKs", "outputId": "19053c67-67c0-476f-fba3-dd8e9fe73dc6" }, "execution_count": 120, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "name": "not defined", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 956, 843, 649, 483, 450, 425, 334, 286, 374, 3504, 1224, 620, 1265, 1392, 1150, 836, 722, 605, 576, 557, 470, 293, 550, 333, 254, 227, 203, 271, 369, 607, 527, 437, 384, 407, 352, 360, 318, 265, 317, 322, 264, 265, 337, 487, 1152, 621, 360, 347, 271, 318, 228, 680, 494, 268, 185, 138, 152, 129, 155, 161, 194, 117, 126, 137, 100, 1768, 824, 310, 196, 176, 141, 183, 143, 120, 116, 100, 98, 344, 405, 377, 330, 327, 442, 495, 475, 373, 341, 297, 305, 293, 274 ], "type": "scatter" }, { "name": "yandex-direct", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 788, 694, 551, 417, 376, 293, 288, 231, 311, 2919, 968, 571, 1012, 1128, 959, 753, 578, 535, 509, 448, 406, 232, 443, 286, 197, 176, 158, 225, 343, 458, 419, 364, 335, 331, 320, 288, 250, 256, 261, 277, 251, 221, 268, 416, 969, 513, 288, 225, 236, 300, 194, 627, 438, 236, 153, 145, 120, 104, 118, 129, 150, 111, 101, 97, 100, 1425, 693, 254, 156, 135, 138, 195, 95, 102, 104, 78, 90, 261, 324, 318, 270, 267, 348, 419, 386, 333, 261, 238, 248, 228, 211 ], "type": "scatter" }, { "name": "google_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 722, 615, 504, 393, 344, 291, 238, 222, 272, 2694, 941, 496, 947, 1064, 854, 671, 520, 445, 463, 421, 357, 206, 413, 237, 206, 174, 153, 167, 319, 543, 391, 328, 313, 296, 272, 267, 250, 230, 223, 206, 232, 229, 230, 391, 886, 470, 265, 234, 203, 253, 174, 511, 394, 190, 157, 139, 112, 109, 93, 125, 117, 95, 99, 93, 88, 1283, 561, 234, 156, 134, 96, 145, 115, 100, 97, 76, 97, 243, 270, 274, 247, 270, 388, 387, 393, 277, 227, 204, 229, 191, 186 ], "type": "scatter" }, { "name": "vk_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 693, 550, 444, 340, 304, 304, 254, 233, 244, 2403, 850, 462, 790, 925, 765, 665, 495, 425, 426, 389, 332, 197, 366, 236, 175, 143, 145, 214, 273, 388, 365, 276, 262, 280, 261, 242, 214, 181, 205, 214, 207, 194, 210, 334, 746, 384, 228, 191, 161, 227, 169, 460, 358, 181, 123, 108, 103, 102, 72, 105, 105, 81, 99, 63, 82, 1071, 520, 180, 129, 106, 104, 121, 86, 83, 95, 62, 62, 192, 223, 238, 226, 227, 287, 327, 332, 256, 209, 211, 185, 168, 182 ], "type": "scatter" }, { "name": "instagram_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 537, 529, 363, 307, 257, 256, 204, 204, 215, 2078, 720, 383, 716, 849, 681, 543, 459, 380, 375, 342, 317, 163, 321, 207, 160, 108, 122, 180, 252, 359, 345, 243, 253, 202, 227, 229, 180, 201, 195, 212, 158, 175, 219, 278, 675, 348, 218, 165, 164, 188, 121, 405, 308, 175, 122, 109, 105, 93, 76, 110, 90, 73, 66, 75, 55, 1022, 440, 178, 113, 74, 84, 107, 75, 48, 73, 67, 75, 213, 242, 229, 197, 193, 268, 291, 302, 225, 200, 182, 159, 173, 143 ], "type": "scatter" }, { "name": "facebook_ads", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 465, 376, 276, 225, 214, 166, 164, 133, 184, 1629, 503, 290, 533, 658, 542, 386, 349, 301, 306, 262, 214, 116, 222, 150, 108, 106, 87, 121, 167, 294, 251, 160, 195, 173, 170, 154, 178, 138, 151, 151, 125, 147, 128, 229, 504, 263, 156, 106, 123, 166, 87, 327, 251, 148, 87, 73, 76, 60, 67, 79, 72, 53, 55, 62, 45, 801, 337, 116, 84, 82, 70, 83, 62, 57, 66, 43, 62, 135, 156, 172, 147, 174, 194, 230, 216, 164, 130, 124, 147, 131, 104 ], "type": "scatter" }, { "name": "referal", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 284, 286, 199, 135, 136, 110, 86, 87, 126, 996, 341, 188, 356, 399, 367, 262, 215, 175, 178, 157, 156, 85, 149, 111, 75, 66, 78, 75, 117, 179, 152, 129, 123, 137, 113, 108, 87, 89, 100, 107, 86, 72, 93, 160, 301, 162, 100, 86, 73, 90, 52, 187, 115, 69, 74, 51, 33, 43, 40, 57, 52, 37, 32, 39, 40, 464, 233, 66, 49, 55, 40, 39, 42, 37, 40, 23, 36, 92, 102, 115, 89, 90, 113, 125, 138, 97, 102, 82, 86, 85, 80 ], "type": "scatter" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "legend": { "orientation": "v", "x": 1, "xanchor": "center" }, "title": { "text": "Динамика первых открытий приложения в 1 кв. 2020г. по каналам привлечения" }, "height": 600, "width": 1200, "yaxis": { "title": { "text": "Количество первых открытий приложения, раз" } }, "xaxis": { "title": { "text": "Дата" } } }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Отметим, что все каналы показывают схожую между собой динамику привлечения новых пользователей, а пиковые дни привлечения совпадают с днями наибольшей активности в приложении. \n", "\n", "**Выводы.**\n", "\n", "Проведённый анализ динамики установок приложения и привлечения пользователей указывает на то, что периоды пиковой активности в приложении, на которые мы обратили внимание ранее, были сформированы в основном за счёт активного привлечения новых пользователей. Возможно это были дни запуска новых рекламных кампаний и закупки трафика/инсталлов.\n", "\n", "**Предложения.**\n", "\n", "Для более плавной генерации активности пользователями нашего сервиса можно разделить во времени запуск рекламных кампаний в разных каналах привлечения, а после настройки ежедневного мониторинга активности пользователей в случаях её падения запускать акции и скидки.\n", "Для роста активности действующих пользователей в рабочие дни можно использовать рассылки пуш-уведомлений с призывом к действию, который должен возвращать пользователей в приложение. Уведомления могут содержать товарные рекомендации, которые могут быть настроены как на интересы конкретного пользователя (товары, которые он ранее просматривал, добавлял в корзину или покупал), так и на популярные товары, а также напоминать об оставленных в корзине товарах." ], "metadata": { "id": "n85S1MhOjMQP" } }, { "cell_type": "markdown", "source": [ "Посмотрим на итоговую результативность рекламных каналов по привлечению новых пользователей. Для этого создадим сводную таблицу *first_start_df,* в которой подсчитаем количество первых открытий приложения за рассматриваемый период в разрезе источников привлечения. Чтобы учесть только первые открытия для каждого *device_id,* отсортируем данные исходной таблицы по дате открытия приложения по возрастанию и удалим строки с вторыми и последующими совпадающими *device_id.* Отсортируем полученную таблицу по убыванию количества открытий и добавим столбец с долей каждого источника привлечения. Для визуализации полученных результатов используем столбчатую диаграмму. По оси абсцисс расположим каналы привлечения, по оси ординат - количество первых открытий приложения." ], "metadata": { "id": "4eqRI7UjlfpO" } }, { "cell_type": "code", "source": [ "first_start_df = pd.pivot_table(df[df['event'] == 'app_start'].sort_values('date').drop_duplicates('device_id'), values=['event'], index=['utm_source'], aggfunc=len).reset_index()\n", "first_start_df.rename({'event': 'app_start_count'}, axis=1, inplace=True)\n", "first_start_df = first_start_df.sort_values('app_start_count', ignore_index=True, ascending=False)\n", "first_start_df['app_start_ratio'] = round(first_start_df['app_start_count'] * 100 / first_start_df['app_start_count'].sum(), 1)\n", "display(first_start_df)\n", "print()\n", "print('Ответ на второй вопрос Задания 1.1.4: С канала \"{}\" было больше всего первых открытий приложения.'.format(first_start_df['utm_source'][1]))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 304 }, "id": "m--AJ7z-jqPB", "outputId": "209dc1e3-20b7-4a8f-9da2-1aba1738bc00" }, "execution_count": 121, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " utm_source app_start_count app_start_ratio\n", "0 not_defined 41456 21.7\n", "1 yandex-direct 34441 18.0\n", "2 google_ads 31437 16.5\n", "3 vk_ads 27905 14.6\n", "4 instagram_ads 24818 13.0\n", "5 facebook_ads 18844 9.9\n", "6 referal 11983 6.3" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
utm_sourceapp_start_countapp_start_ratio
0not_defined4145621.7
1yandex-direct3444118.0
2google_ads3143716.5
3vk_ads2790514.6
4instagram_ads2481813.0
5facebook_ads188449.9
6referal119836.3
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на второй вопрос Задания 1.1.4: С канала \"yandex-direct\" было больше всего первых открытий приложения.\n" ] } ] }, { "cell_type": "code", "source": [ "fig = go.Figure(data=[go.Bar(\n", " x=first_start_df['utm_source'], y=first_start_df['app_start_count'],\n", " text = first_start_df['app_start_count'],\n", " texttemplate = '%{value:,.0f}',\n", " marker_color='#1f77b4'\n", ")])\n", "fig.update_traces(textfont_size=12, textangle=0, textposition=\"outside\")\n", "fig.update_layout(height=600, width=1200, xaxis_tickangle=-45,\n", " title_text='Количество первых открытий приложения в 1 кв. 2020г. по каналам привлечения', \n", " yaxis=dict(title='Количество первых открытий приложения, раз'), \n", " xaxis=dict(title='Канал привлечения', dtick = 1), \n", " showlegend=False)\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "_pyoLAzFpwEG", "outputId": "89d86a9c-150c-4360-cd0a-d3a31cea7ae9" }, "execution_count": 122, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "marker": { "color": "#1f77b4" }, "text": [ 41456, 34441, 31437, 27905, 24818, 18844, 11983 ], "texttemplate": "%{value:,.0f}", "x": [ "not_defined", "yandex-direct", "google_ads", "vk_ads", "instagram_ads", "facebook_ads", "referal" ], "y": [ 41456, 34441, 31437, 27905, 24818, 18844, 11983 ], "type": "bar", "textfont": { "size": 12 }, "textangle": 0, "textposition": "outside" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "tickangle": -45, "title": { "text": "Канал привлечения" }, "dtick": 1 }, "title": { "text": "Количество первых открытий приложения в 1 кв. 2020г. по каналам привлечения" }, "height": 600, "width": 1200, "yaxis": { "title": { "text": "Количество первых открытий приложения, раз" } }, "showlegend": false }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***Самыми результативными из платных каналов по привлечению новых пользователей в приложение оказались те же Яндекс, Гугл и ВК (их доли в общем объёме привлечения 18%, 17% и 15% соответственно), а в аутсайдерах по прежнему находится реферальная программа (с долей в 6%).***" ], "metadata": { "id": "5gKnqKEfrt6f" } }, { "cell_type": "markdown", "source": [ "Посмотрим, как в рассматриваемом периоде распределён трафик в приложении.\n", "Для начала добавим в исходную таблицу столбец с датой установки приложения пользователями и определим для каждого события, какие из них были совершены в день установки приложения, а какие позднее.\n", "\n", "Создадим словарь *install_dates_dict*, содержащий *device_id* и соответствующие даты установки и с помощью lambda-функции пройдёмся по значениям столбца *device_id* для заполнения из полученного словаря дат установки приложения в столбец *install_date*. Создадим новый столбец *install_same_day,* который заполним значениями True для тех событий, которые произошли в день установки приложения, и False для тех, которые произошли в другую дату." ], "metadata": { "id": "bRq7_9Wflong" } }, { "cell_type": "code", "source": [ "install_dates_dict = {}\n", "for row_1 in df[df['event'] == 'app_install'][['date', 'device_id']].itertuples(index=False):\n", " install_dates_dict[row_1[1]] = row_1[0]\n", "\n", "df['install_date'] = df['device_id'].apply(lambda x: install_dates_dict.get(x))\n", "df['install_same_day'] = df['install_date'] == df['date']" ], "metadata": { "id": "ipV5MkXCUYYA" }, "execution_count": 123, "outputs": [] }, { "cell_type": "markdown", "source": [ "Создадим сводную таблицу *open_app_df,* в которой подсчитаем количество пользователей, открывших приложение в день установки (столбец *install_same_day*) и в другие дни (столбец *others*). Дополнительно рассчитаем долю каждой группы в дневном объёме событий. Для визуализации полученных результатов используем график. По оси абсцисс расположим даты, по оси ординат - количество пользователей, открывших приложение, в разрезе выделенных групп." ], "metadata": { "id": "lYh3Q6ZUlWUu" } }, { "cell_type": "code", "source": [ "open_app_df = pd.pivot_table(df[df['event'] == 'app_start'], values=['device_id'], index=['date'], columns=['install_same_day'], aggfunc=len, fill_value=0).reset_index()\n", "open_app_df = open_app_df.droplevel(1, axis=1)\n", "open_app_df.columns = ['date', 'others', 'install_same_day']\n", "open_app_df['others_ratio'] = round(open_app_df['others'] * 100 / (open_app_df['install_same_day'] + open_app_df['others']), 1)\n", "open_app_df['install_same_day_ratio'] = 100 - open_app_df['others_ratio']\n", "display(open_app_df.head())\n", "print()\n", "print('Ответ на первый вопрос Задания 1.1.2: {} человек установили приложение 31 марта.'.format(df[df['install_date'] == '2020-03-31']['device_id'].nunique()))\n", "print()\n", "print('Ответ на второй вопрос Задания 1.1.2: {:.0f}% составила доля открытий приложения 14 февраля пользователями, у которых оно уже было установлено.'.format(open_app_df[open_app_df['date'] == '2020-02-14']['others_ratio'].values[0]))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 276 }, "id": "VBrm-42BWa6v", "outputId": "70df9016-1ad5-4ef4-a545-d4a9b9d704bd" }, "execution_count": 124, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date others install_same_day others_ratio install_same_day_ratio\n", "0 2020-01-01 866 3579 19.5 80.5\n", "1 2020-01-02 1957 3144 38.4 61.6\n", "2 2020-01-03 2742 2402 53.3 46.7\n", "3 2020-01-04 3093 1831 62.8 37.2\n", "4 2020-01-05 3936 1671 70.2 29.8" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dateothersinstall_same_dayothers_ratioinstall_same_day_ratio
02020-01-01866357919.580.5
12020-01-021957314438.461.6
22020-01-032742240253.346.7
32020-01-043093183162.837.2
42020-01-053936167170.229.8
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на первый вопрос Задания 1.1.2: 968 человек установили приложение 31 марта.\n", "\n", "Ответ на второй вопрос Задания 1.1.2: 71% составила доля открытий приложения 14 февраля пользователями, у которых оно уже было установлено.\n" ] } ] }, { "cell_type": "code", "source": [ "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=open_app_df['date'], y=open_app_df['install_same_day'], name='Группа \"Установили в тот же день\"'))\n", "fig.add_trace(go.Scatter(x=open_app_df['date'], y=open_app_df['others'], name='Группа \"Остальные\"'))\n", "fig.update_layout(height=600,\n", " width=1200,\n", " legend_orientation=\"v\",\n", " legend=dict(x=1, xanchor=\"center\"),\n", " title_text='Динамика открытий приложения для групп «Установили в тот же день» и «Остальные» в 1 кв. 2020г.',\n", " yaxis=dict(title='Количество пользователей, чел.'),\n", " xaxis=dict(title='Дата'))\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "i_RhPOcgW_SQ", "outputId": "e2085e44-76ee-44d3-ca0d-ddf6997de8a8" }, "execution_count": 125, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "name": "Группа \"Установили в тот же день\"", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 3579, 3144, 2402, 1831, 1671, 1488, 1298, 1154, 1424, 13106, 4523, 2439, 4571, 5173, 4310, 3306, 2737, 2304, 2257, 2097, 1826, 1057, 2051, 1275, 970, 812, 758, 1012, 1456, 2301, 1965, 1584, 1493, 1483, 1377, 1323, 1172, 1086, 1176, 1191, 1083, 1076, 1199, 1844, 4188, 2223, 1340, 1098, 1018, 1243, 839, 2576, 1901, 1016, 727, 593, 571, 532, 508, 618, 651, 453, 466, 452, 411, 6358, 2934, 1098, 703, 616, 549, 709, 499, 443, 478, 360, 431, 1171, 1406, 1408, 1235, 1261, 1692, 1850, 1824, 1395, 1199, 1091, 1117, 994, 968 ], "type": "scatter" }, { "name": "Группа \"Остальные\"", "x": [ "2020-01-01T00:00:00", "2020-01-02T00:00:00", "2020-01-03T00:00:00", "2020-01-04T00:00:00", "2020-01-05T00:00:00", "2020-01-06T00:00:00", "2020-01-07T00:00:00", "2020-01-08T00:00:00", "2020-01-09T00:00:00", "2020-01-10T00:00:00", "2020-01-11T00:00:00", "2020-01-12T00:00:00", "2020-01-13T00:00:00", "2020-01-14T00:00:00", "2020-01-15T00:00:00", "2020-01-16T00:00:00", "2020-01-17T00:00:00", "2020-01-18T00:00:00", "2020-01-19T00:00:00", "2020-01-20T00:00:00", "2020-01-21T00:00:00", "2020-01-22T00:00:00", "2020-01-23T00:00:00", "2020-01-24T00:00:00", "2020-01-25T00:00:00", "2020-01-26T00:00:00", "2020-01-27T00:00:00", "2020-01-28T00:00:00", "2020-01-29T00:00:00", "2020-01-30T00:00:00", "2020-01-31T00:00:00", "2020-02-01T00:00:00", "2020-02-02T00:00:00", "2020-02-03T00:00:00", "2020-02-04T00:00:00", "2020-02-05T00:00:00", "2020-02-06T00:00:00", "2020-02-07T00:00:00", "2020-02-08T00:00:00", "2020-02-09T00:00:00", "2020-02-10T00:00:00", "2020-02-11T00:00:00", "2020-02-12T00:00:00", "2020-02-13T00:00:00", "2020-02-14T00:00:00", "2020-02-15T00:00:00", "2020-02-16T00:00:00", "2020-02-17T00:00:00", "2020-02-18T00:00:00", "2020-02-19T00:00:00", "2020-02-20T00:00:00", "2020-02-21T00:00:00", "2020-02-22T00:00:00", "2020-02-23T00:00:00", "2020-02-24T00:00:00", "2020-02-25T00:00:00", "2020-02-26T00:00:00", "2020-02-27T00:00:00", "2020-02-28T00:00:00", "2020-02-29T00:00:00", "2020-03-01T00:00:00", "2020-03-02T00:00:00", "2020-03-03T00:00:00", "2020-03-04T00:00:00", "2020-03-05T00:00:00", "2020-03-06T00:00:00", "2020-03-07T00:00:00", "2020-03-08T00:00:00", "2020-03-09T00:00:00", "2020-03-10T00:00:00", "2020-03-11T00:00:00", "2020-03-12T00:00:00", "2020-03-13T00:00:00", "2020-03-14T00:00:00", "2020-03-15T00:00:00", "2020-03-16T00:00:00", "2020-03-17T00:00:00", "2020-03-18T00:00:00", "2020-03-19T00:00:00", "2020-03-20T00:00:00", "2020-03-21T00:00:00", "2020-03-22T00:00:00", "2020-03-23T00:00:00", "2020-03-24T00:00:00", "2020-03-25T00:00:00", "2020-03-26T00:00:00", "2020-03-27T00:00:00", "2020-03-28T00:00:00", "2020-03-29T00:00:00", "2020-03-30T00:00:00", "2020-03-31T00:00:00" ], "y": [ 866, 1957, 2742, 3093, 3936, 3677, 3475, 3796, 3992, 8323, 9946, 7790, 7603, 7764, 7545, 7325, 7165, 7292, 7259, 6937, 6823, 6638, 7666, 6981, 6866, 6802, 6457, 6638, 7125, 6919, 6776, 6684, 6765, 6347, 6306, 6179, 6710, 6307, 6423, 6666, 6334, 5845, 6364, 7515, 10282, 8067, 7943, 7687, 7594, 7380, 6667, 10084, 8933, 7640, 7092, 6594, 6270, 6220, 6254, 6464, 6458, 6015, 5845, 5681, 5759, 10616, 10606, 6937, 6754, 6780, 6457, 6616, 6025, 6166, 6120, 5786, 6111, 6148, 6037, 5743, 5608, 5440, 7112, 7813, 7990, 7861, 6610, 5374, 4818, 4710, 4322 ], "type": "scatter" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "legend": { "orientation": "v", "x": 1, "xanchor": "center" }, "title": { "text": "Динамика открытий приложения для групп «Установили в тот же день» и «Остальные» в 1 кв. 2020г." }, "height": 600, "width": 1200, "yaxis": { "title": { "text": "Количество пользователей, чел." } }, "xaxis": { "title": { "text": "Дата" } } }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***График показывает, что ежедневно на протяжении всего анализируемого периода количество пользователей, открывающих приложение в день его установки, было на порядок меньше тех, кто воспользовался установленным ранее приложением. Обратную ситуацию показывают только 1, 2 и 10 января.*** В эти дни доля пользователей, воспользовавшихся приложением в день установки превышала долю тех, кто использовал ранее установленное приложение. Возможно, большинство пользователей, установивших приложение ранее, успели воспользоваться им по назначению ещё до праздника, поэтому 1 и 2 января доля трафика от инсталлов была больше. Похожая ситуация с распределением источников трафика 10 января связана с резким ростом в этот день количества установок приложения людьми, заинтересовавшимися нашим сервисом." ], "metadata": { "id": "xcNUivV1Ngd5" } }, { "cell_type": "markdown", "source": [ "Посчитаем, какие каналы привлечения оказались результативнее по медианному первому чеку. Для этого создадим таблицу *first_purchase_df,* в которой оставим только первые покупки по всем покупавшим *device_id,* для чего отсортируем данные исходной таблицы по дате покупки по возрастанию и удалим строки с вторыми и последующими совпадающими *device_id.* Далее сгруппируем полученную таблицу по каналам привлечения и посчитаем количество первых покупок (понадобится далее для рассчёта конверсии) и медианный первый чек за рассматриваемый период. Отсортируем полученную таблицу по убыванию суммы чека." ], "metadata": { "id": "9fkjgJWNtWuH" } }, { "cell_type": "code", "source": [ "first_purchase_df = df[df['event'] == 'purchase'].sort_values('date').drop_duplicates('device_id')\n", "first_purchase_df = first_purchase_df[['utm_source', 'device_id', 'purchase_sum']].groupby('utm_source').agg({'device_id':'count', 'purchase_sum':'median'}).reset_index()\n", "first_purchase_df.rename({'device_id': 'purchase_count', 'purchase_sum': 'median_first_check'}, axis=1, inplace=True)\n", "first_purchase_df.sort_values('median_first_check', ignore_index=True, ascending = False, inplace=True)\n", "display(first_purchase_df)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 269 }, "id": "5dnwCf4FvhJn", "outputId": "7c9d3d30-169d-46ae-9760-828b38b54ab3" }, "execution_count": 126, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " utm_source purchase_count median_first_check\n", "0 not_defined 14786 398.5\n", "1 referal 5803 395.5\n", "2 instagram_ads 9820 393.5\n", "3 vk_ads 11460 393.0\n", "4 yandex-direct 10936 392.5\n", "5 google_ads 10167 390.5\n", "6 facebook_ads 7903 389.0" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
utm_sourcepurchase_countmedian_first_check
0not_defined14786398.5
1referal5803395.5
2instagram_ads9820393.5
3vk_ads11460393.0
4yandex-direct10936392.5
5google_ads10167390.5
6facebook_ads7903389.0
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***Рассчёты показали, что из платных каналов привлечения самый высокий медианный первый чек имеют пользователи, пришедшие в наш сервис по реферальной программе, а самый низкий - пользователи, пришедшие из Фейсбук.***" ], "metadata": { "id": "B0NOi_hu98M5" } }, { "cell_type": "markdown", "source": [ "Определим конверсию в первую покупку по каналам привлечения. Для этого объединим полученные ранее таблицы по первым открытиям приложения и первым покупкам (*first_start_df* и *first_purchase_df* соответственно) по *utm_source,* добавим столбец с конверсией открытий в покупки (в %), отсортируем полученную таблицу по убыванию значения конверсии и оставим только нужные нам столбцы." ], "metadata": { "id": "MZ5CgK-oJL35" } }, { "cell_type": "code", "source": [ "start_to_purchase_df = pd.merge(first_start_df, first_purchase_df, how='left', on='utm_source')\n", "start_to_purchase_df['CR'] = round(start_to_purchase_df['purchase_count'] * 100 / start_to_purchase_df['app_start_count'], 1)\n", "start_to_purchase_df.sort_values('CR', ignore_index=True, ascending=False, inplace=True)\n", "start_to_purchase_df = start_to_purchase_df[['utm_source','app_start_count','purchase_count','CR']]\n", "display(start_to_purchase_df)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 269 }, "id": "mFzvFL0gwYgA", "outputId": "a1255cbe-8288-4dff-852b-308910c09a8d" }, "execution_count": 127, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " utm_source app_start_count purchase_count CR\n", "0 referal 11983 5803 48.4\n", "1 facebook_ads 18844 7903 41.9\n", "2 vk_ads 27905 11460 41.1\n", "3 instagram_ads 24818 9820 39.6\n", "4 not_defined 41456 14786 35.7\n", "5 google_ads 31437 10167 32.3\n", "6 yandex-direct 34441 10936 31.8" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
utm_sourceapp_start_countpurchase_countCR
0referal11983580348.4
1facebook_ads18844790341.9
2vk_ads279051146041.1
3instagram_ads24818982039.6
4not_defined414561478635.7
5google_ads314371016732.3
6yandex-direct344411093631.8
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "***Как мы видим, самую высокую конверсию в первую покупку показали пользователи, пришедшие по реферальной программе, а самую низкую - пользователи, пришедшие из Яндекса.***" ], "metadata": { "id": "EubXdwUAA6G5" } }, { "cell_type": "markdown", "source": [ "Теперь рассчитаем окупаемость рекламных вложений (ROMI) и оценим каналы привлечения в метриках CPO (Cost per order — стоимость заказа) и CAC (Customer Acquisition Cost — стоимость привлечения покупателя). Для этого создадим сводную таблицу *romi_df,* в которой рассчитаем выручку и количество продаж. При этом применим дополнительно условие, чтобы в таблицу не попал канал not_defined. Объединим *romi_df* с таблицей *first_purchase_df,* в которой посчитано количество новых уникальных покупателей в разрезе каналов привлечения. Создадим словарь *costs_dict* и внесём в него полученные от отдела маркетинга данные по затратам в рассматриваемом периоде на рекламу. Заполним столбец *costs* с затратами из созданного ранее словаря и рассчитаем ROMI, CPO, CAC и средний чек, а полученную таблицу отсортируем по убыванию окупаемости." ], "metadata": { "id": "kFDwy7wFJVkw" } }, { "cell_type": "code", "source": [ "romi_df = pd.pivot_table(df[(df['event'] == 'purchase') & (df['utm_source'] != 'not_defined')], values=['purchase_sum'], index=['utm_source'], aggfunc=['sum', 'count']).reset_index()\n", "romi_df = romi_df.droplevel(1, axis=1)\n", "romi_df = romi_df.merge(first_purchase_df[first_purchase_df['utm_source'] != 'not_defined'][['utm_source', 'purchase_count']], how='left', on='utm_source')\n", "romi_df.columns = ['utm_source', 'revenue', 'purch_count', 'customers_count']\n", "costs_dict = {'referal': first_purchase_df[first_purchase_df['utm_source'] == 'referal'].values[0][1] * 200, 'vk_ads': 9553531, 'instagram_ads': 8561626, 'facebook_ads': 8590498, 'yandex-direct': 10491707, 'google_ads': 10534878}\n", "romi_df['costs'] = romi_df['utm_source'].apply(lambda x: costs_dict[x])\n", "romi_df['ROMI'] = round((romi_df['revenue'] - romi_df['costs']) * 100 / romi_df['costs'], 1)\n", "romi_df['CPO'] = round(romi_df['costs'] / romi_df['purch_count'], 1)\n", "romi_df['CAC'] = round(romi_df['costs'] / romi_df['customers_count'], 1)\n", "romi_df['avg_check'] = round(romi_df['revenue'] / romi_df['purch_count'], 1)\n", "romi_df.sort_values('ROMI', inplace=True, ignore_index=True, ascending=False)\n", "display(romi_df)\n", "print()\n", "print('Ответ на вопросы Задания 1.1.8: Из платных каналов привлечения самый высокий ROMI имеет \"{}\", а самый низкий ROMI имеет \"{}\".'.format(romi_df['utm_source'][0], romi_df['utm_source'][5]))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 272 }, "id": "7n9-VIrIY9zA", "outputId": "a83a7c56-da13-4097-e566-8e5627de0c7f" }, "execution_count": 128, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " utm_source revenue purch_count customers_count costs ROMI \\\n", "0 referal 8837044.5 12839 5803 1160600 661.4 \n", "1 vk_ads 16389652.5 22960 11460 9553531 71.6 \n", "2 instagram_ads 14546969.0 20176 9820 8561626 69.9 \n", "3 facebook_ads 12249901.0 17219 7903 8590498 42.6 \n", "4 yandex-direct 13915368.0 19359 10936 10491707 32.6 \n", "5 google_ads 12868276.0 18479 10167 10534878 22.1 \n", "\n", " CPO CAC avg_check \n", "0 90.4 200.0 688.3 \n", "1 416.1 833.6 713.8 \n", "2 424.3 871.9 721.0 \n", "3 498.9 1087.0 711.4 \n", "4 542.0 959.4 718.8 \n", "5 570.1 1036.2 696.4 " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
utm_sourcerevenuepurch_countcustomers_countcostsROMICPOCACavg_check
0referal8837044.51283958031160600661.490.4200.0688.3
1vk_ads16389652.52296011460955353171.6416.1833.6713.8
2instagram_ads14546969.0201769820856162669.9424.3871.9721.0
3facebook_ads12249901.0172197903859049842.6498.91087.0711.4
4yandex-direct13915368.019359109361049170732.6542.0959.4718.8
5google_ads12868276.018479101671053487822.1570.11036.2696.4
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на вопросы Задания 1.1.8: Из платных каналов привлечения самый высокий ROMI имеет \"referal\", а самый низкий ROMI имеет \"google_ads\".\n" ] } ] }, { "cell_type": "markdown", "source": [ "***Выводы.***\n", "\n", "Коэффициент возврата инвестиций 661% говорит о том, что наша реферальная программа прибыльна, она приносит 6,61 рублей на каждый потраченный рубль. Остальные же рекламные кампании убыточны (ROMI < 100%), практически мы возвращаем только свои затраты на рекламу (ROMI по всем каналам положительный). Наряду с этим из расчётов видно, что с реферальной программы мы получаем покупателей с наименьшими затратами на привлечение (стоимость привлечения одного покупателя составила 200 руб.) и продажи с наименьшими расходами на заказ (стоимость заказа по реферальной программе составила 90 руб.), а превышение стоимости привлечения покупателей суммы среднего чека по остальным каналам говорит об их неэффективности.\n", "\n", "По результатам проведённого анализа можно сделать вывод, что реферальная программа как канал привлечения наиболее интересна для масштабирования и необходимо перераспределить на неё часть бюджета с менее эффективных каналов.\n", "\n", "***Предложения.***\n", "\n", "Для продвижения реферальной программы нужно сделать так, чтобы как можно больше пользователей узнало о ней: использовать пуш-уведомления, электронные письма и SMS с описанием преимуществ нашей программы и качественным призывом к действию (можно даже поработать над созданием чувства «срочности» у пользователей). Чтобы обнаружение реферальной программы в приложении не составило пользователю труда, кнопку имеет смысл разместить в наиболее очевидном месте – меню приложения, попробовать выделить её с помощью определенного цвета или значка, использовать мощное слово/словосочетание, которое спровоцирует пользователя нажать (например «Пригласи и заработай!». Кроме этого нужно создать понятное руководство по использованию реферальной программы, интегрировать кнопки социальных сетей и персонализированные ссылки, ведь помимо четкого представления всей процедуры пользователи должны иметь возможность быстро делиться реферальными ссылками через соц. сети и реферальные коды. Можно даже пойти на некоторое увеличение вознаграждения рефералам. \n", "\n", "При этом две рекламные кампании (Гугл и Яндекс), являющиеся лидерами по привлечению новых пользователей, но аутсайдерами по совокупности остальных анализируемых метрик, обязательно необходимо корректировать. Их стоит попробовать перевести на модель оплаты рекламы CPS (Cost per Sale), в которой в качестве целевого действия выступает продажа. В этом случае трафик, который мы получим, с большей вероятностью будет целевым и мы увеличим конверсию. При этом платформам будет непросто привлечь в наше приложение посетителей, готовых сделать заказ, в связи с этим необходимо будет предложить за новых покупателей солидные комиссионные. Но чтобы определить, сколько мы готовы платить за них, необходимо сначала рассчитать, какую прибыль приносит средняя продажа, а для этого необходимы данные по всем затратам.\n", "\n", "Важно вводить перечисленные выше изменения с проведением тестирования каждой выдвинутой гипотезы, с постоянным мониторингом целевых показателей, своевременно и гибко реагируя на изменения отслеживаемых метрик." ], "metadata": { "id": "LmVp3k9cDVyR" } }, { "cell_type": "markdown", "source": [ "**2. Анализ воронки продаж.**" ], "metadata": { "id": "kK2705QLbGHN" } }, { "cell_type": "markdown", "source": [ "Для начала работы по построению воронки продаж добавим в исходную таблицу столбец с датой регистрации пользователей и определим для каждого события, какие из них были совершены зарегистрированными, а какие незарегистрированными пользователями.\n", "\n", "Создадим словарь *register_dates_dict*, содержащий *device_id* и соответствующие даты регистрации и с помощью lambda-функции пройдёмся по значениям столбца *device_id* для заполнения из полученного словаря дат рагистрации пользователей в столбец *register_date*. Создадим новый столбец *previously_registered,* который заполним значениями True для тех событий, которые совершили зарегистрированные ранее пользователи, и False для тех событий, которые совершили ранее незарегистрированные пользователи (сюда же отнесём события, которые произошли в день регистрации)." ], "metadata": { "id": "Z58YDZpoM2Tb" } }, { "cell_type": "code", "source": [ "register_dates_dict = {}\n", "for row_2 in df[df['event'] == 'register'][['date', 'device_id']].itertuples(index=False):\n", " register_dates_dict[row_2[1]] = row_2[0]\n", " \n", "df['register_date'] = df['device_id'].apply(lambda x: register_dates_dict.get(x))\n", "df['previously_registered'] = df['date'] > df['register_date']\n", "display(df.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "bL6r4jkOs02v", "outputId": "440aeff5-7055-4eaa-d781-1d73bc3c14a0" }, "execution_count": 129, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " date event purchase_sum os_name device_id gender \\\n", "0 2020-01-01 app_start NaN android 669460 female \n", "1 2020-01-01 app_start NaN ios 833621 male \n", "2 2020-01-01 app_start NaN android 1579237 male \n", "3 2020-01-01 app_start NaN android 1737182 female \n", "4 2020-01-01 app_start NaN ios 4029024 female \n", "\n", " city utm_source install_date install_same_day \\\n", "0 Moscow not_defined 2020-01-01 True \n", "1 Moscow vk_ads 2020-01-01 True \n", "2 Saint-Petersburg referal NaT False \n", "3 Moscow facebook_ads 2020-01-01 True \n", "4 Moscow facebook_ads 2020-01-01 True \n", "\n", " register_date previously_registered \n", "0 2020-01-07 False \n", "1 2020-01-01 False \n", "2 2020-01-01 False \n", "3 2020-01-01 False \n", "4 NaT False " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dateeventpurchase_sumos_namedevice_idgendercityutm_sourceinstall_dateinstall_same_dayregister_datepreviously_registered
02020-01-01app_startNaNandroid669460femaleMoscownot_defined2020-01-01True2020-01-07False
12020-01-01app_startNaNios833621maleMoscowvk_ads2020-01-01True2020-01-01False
22020-01-01app_startNaNandroid1579237maleSaint-PetersburgreferalNaTFalse2020-01-01False
32020-01-01app_startNaNandroid1737182femaleMoscowfacebook_ads2020-01-01True2020-01-01False
42020-01-01app_startNaNios4029024femaleMoscowfacebook_ads2020-01-01TrueNaTFalse
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Сформируем воронку продаж по зарегистрированным пользователям. Для этого создадим сводную таблицу *reg_users_funnel_df,* в которой подсчитаем количество уникальных зарегистрированных пользователей на каждом этапе воронки продаж. Чтобы учесть только зарегистрированных пользователей применим к исходной таблице условие равенства значения True в столбце *previously_registered.* Отсортируем полученную таблицу по количеству пользователей, совершивших каждое действие, по убыванию.\n", "\n", "Также будет полезно выяснить процент пользователей, которые добавили товар в корзину, но не совершили покупку. В этом нам поможет метрика CAR (Shopping Cart Abandonment Rate — коэффициент брошенных корзин), рассчитаем её по формуле: 1 – (Количество покупок / Количество добавлений в корзину)." ], "metadata": { "id": "4-WZw3Dlg5yy" } }, { "cell_type": "code", "source": [ "reg_users_funnel_df = pd.pivot_table(df[df['previously_registered'] == True], values='device_id', index='event', aggfunc='nunique').reset_index()\n", "reg_users_funnel_df.rename({'device_id': 'users_count'}, axis=1, inplace=True)\n", "reg_users_funnel_df.sort_values('users_count', ignore_index=True, ascending = False, inplace=True)\n", "reg_users_car = 1 - (reg_users_funnel_df['users_count'][4] / reg_users_funnel_df['users_count'][2])\n", "display(reg_users_funnel_df)\n", "print()\n", "print('Коэффициент брошенных корзин по зарегистрированным клиентам составил {:.0%}.'.format(reg_users_car))" ], "metadata": { "id": "b0gfqc-ht73H", "colab": { "base_uri": "https://localhost:8080/", "height": 241 }, "outputId": "1591ddfe-a450-48f9-ee56-04599af2be1d" }, "execution_count": 130, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " event users_count\n", "0 app_start 40991\n", "1 search 40482\n", "2 choose_item 37926\n", "3 tap_basket 34517\n", "4 purchase 24880" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
eventusers_count
0app_start40991
1search40482
2choose_item37926
3tap_basket34517
4purchase24880
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Коэффициент брошенных корзин по зарегистрированным клиентам составил 34%.\n" ] } ] }, { "cell_type": "markdown", "source": [ "Теперь сформируем воронку продаж по незарегистрированным пользователям. Для этого создадим сводную таблицу *unreg_users_funnel_df,* в которой подсчитаем количество уникальных незарегистрированных пользователей на каждом этапе воронки продаж. Чтобы учесть только незарегистрированных пользователей применим к исходной таблице условие равенства значения False в столбце *previously_registered.* При этом применим дополнительно условие, чтобы в этапы воронки не попало событие установки приложения, так как данные по этому событию будут нерепрезентативны (часть пользователей, которые совершают события в рассматриваемом периоде, установили приложение ранее). Отсортируем полученную таблицу по количеству пользователей, совершивших каждое действие, по убыванию.\n", "Дополнительно рассчитаем коэффициент брошенных корзин по незарегистрированным пользователям.\n", "\n", "Для визуализации полученных результатов используем воронку из модуля plotly.graph_objects библиотеки plotly, а чтобы разместить несколько графиков на одном окне используем функцию make_subplots, в которой укажем необходимое количество столбцов.\n", "\n", "Столбцами в объединённом окне будут воронки продаж отдельно по зарегистрированныи и незарегистрированным пользователям. В каждом графике приведём значения этапов воронки продаж в количественном и процентном выражении, конверсию отразим относительно предыдущего этапа воронки." ], "metadata": { "id": "onDy9PQnjp2r" } }, { "cell_type": "code", "source": [ "unreg_users_funnel_df = pd.pivot_table(df[(df['previously_registered'] == False) & (df['event'] != 'app_install')], values='device_id', index='event', aggfunc='nunique').reset_index()\n", "unreg_users_funnel_df.rename({'device_id': 'users_count'}, axis=1, inplace=True)\n", "unreg_users_funnel_df.sort_values('users_count', ignore_index=True, ascending = False, inplace=True)\n", "unreg_users_car = 1 - (unreg_users_funnel_df['users_count'][5] / unreg_users_funnel_df['users_count'][2])\n", "display(unreg_users_funnel_df)\n", "print()\n", "print('Коэффициент брошенных корзин по незарегистрированным клиентам составил {:.0%}.'.format(unreg_users_car))" ], "metadata": { "id": "tAlXTNZZuPCP", "colab": { "base_uri": "https://localhost:8080/", "height": 272 }, "outputId": "19c5b194-bcff-4632-874d-6885790df7d9" }, "execution_count": 131, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " event users_count\n", "0 app_start 190884\n", "1 search 184488\n", "2 choose_item 155691\n", "3 tap_basket 125414\n", "4 register 78310\n", "5 purchase 67753" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
eventusers_count
0app_start190884
1search184488
2choose_item155691
3tap_basket125414
4register78310
5purchase67753
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Коэффициент брошенных корзин по незарегистрированным клиентам составил 56%.\n" ] } ] }, { "cell_type": "code", "source": [ "from plotly.subplots import make_subplots\n", "\n", "fig = make_subplots(rows=1, cols=2,subplot_titles=('Зарегистрированные пользователи','Незарегистрированные пользователи'))\n", "\n", "fig.add_trace(\n", " go.Funnel(\n", " y = reg_users_funnel_df['event'],\n", " x = reg_users_funnel_df['users_count'],\n", " textposition = \"inside\",\n", " texttemplate = \"%{value:,.2d}
%{percentPrevious}\",\n", " marker = {\"color\": \"#1c1847\"}\n", "),\n", " row=1, col=1\n", ")\n", "\n", "fig.add_trace(\n", " go.Funnel(\n", " y = unreg_users_funnel_df['event'],\n", " x = unreg_users_funnel_df['users_count'],\n", " textposition = \"inside\",\n", " texttemplate = \"%{value:,.2d}
%{percentPrevious}\",\n", " marker = {\"color\": \"#ff0000\"}\n", "),\n", " row=1, col=2\n", ")\n", "\n", "fig.update_layout(showlegend=False,height=600, width=1200, title_text='Воронки по зарегистрированным и незарегистрированным пользователям (конверсия относительно предыдущего этапа)')\n", "fig.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "cie3oXluunN7", "outputId": "f7034e06-8653-4722-fb9d-0dcd334a7d1d" }, "execution_count": 132, "outputs": [ { "output_type": "display_data", "data": { "application/vnd.plotly.v1+json": { "data": [ { "marker": { "color": "#1c1847" }, "textposition": "inside", "texttemplate": "%{value:,.2d}
%{percentPrevious}", "x": [ 40991, 40482, 37926, 34517, 24880 ], "y": [ "app_start", "search", "choose_item", "tap_basket", "purchase" ], "type": "funnel", "xaxis": "x", "yaxis": "y" }, { "marker": { "color": "#ff0000" }, "textposition": "inside", "texttemplate": "%{value:,.2d}
%{percentPrevious}", "x": [ 190884, 184488, 155691, 125414, 78310, 67753 ], "y": [ "app_start", "search", "choose_item", "tap_basket", "register", "purchase" ], "type": "funnel", "xaxis": "x2", "yaxis": "y2" } ], "layout": { "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "baxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, "type": "carpet" } ], "choropleth": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "choropleth" } ], "contour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "contour" } ], "contourcarpet": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "contourcarpet" } ], "heatmap": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmap" } ], "heatmapgl": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "heatmapgl" } ], "histogram": [ { "marker": { "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "histogram" } ], "histogram2d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2d" } ], "histogram2dcontour": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "histogram2dcontour" } ], "mesh3d": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "type": "mesh3d" } ], "parcoords": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "parcoords" } ], "pie": [ { "automargin": true, "type": "pie" } ], "scatter": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter" } ], "scatter3d": [ { "line": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatter3d" } ], "scattercarpet": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattercarpet" } ], "scattergeo": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergeo" } ], "scattergl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattergl" } ], "scattermapbox": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scattermapbox" } ], "scatterpolar": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolar" } ], "scatterpolargl": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterpolargl" } ], "scatterternary": [ { "marker": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "type": "scatterternary" } ], "surface": [ { "colorbar": { "outlinewidth": 0, "ticks": "" }, "colorscale": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "type": "surface" } ], "table": [ { "cells": { "fill": { "color": "#EBF0F8" }, "line": { "color": "white" } }, "header": { "fill": { "color": "#C8D4E3" }, "line": { "color": "white" } }, "type": "table" } ] }, "layout": { "annotationdefaults": { "arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1 }, "autotypenumbers": "strict", "coloraxis": { "colorbar": { "outlinewidth": 0, "ticks": "" } }, "colorscale": { "diverging": [ [ 0, "#8e0152" ], [ 0.1, "#c51b7d" ], [ 0.2, "#de77ae" ], [ 0.3, "#f1b6da" ], [ 0.4, "#fde0ef" ], [ 0.5, "#f7f7f7" ], [ 0.6, "#e6f5d0" ], [ 0.7, "#b8e186" ], [ 0.8, "#7fbc41" ], [ 0.9, "#4d9221" ], [ 1, "#276419" ] ], "sequential": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ], "sequentialminus": [ [ 0, "#0d0887" ], [ 0.1111111111111111, "#46039f" ], [ 0.2222222222222222, "#7201a8" ], [ 0.3333333333333333, "#9c179e" ], [ 0.4444444444444444, "#bd3786" ], [ 0.5555555555555556, "#d8576b" ], [ 0.6666666666666666, "#ed7953" ], [ 0.7777777777777778, "#fb9f3a" ], [ 0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 0.45 ] }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ] }, "xaxis2": { "anchor": "y2", "domain": [ 0.55, 1 ] }, "yaxis2": { "anchor": "x2", "domain": [ 0, 1 ] }, "annotations": [ { "font": { "size": 16 }, "showarrow": false, "text": "Зарегистрированные пользователи", "x": 0.225, "xanchor": "center", "xref": "paper", "y": 1, "yanchor": "bottom", "yref": "paper" }, { "font": { "size": 16 }, "showarrow": false, "text": "Незарегистрированные пользователи", "x": 0.775, "xanchor": "center", "xref": "paper", "y": 1, "yanchor": "bottom", "yref": "paper" } ], "title": { "text": "Воронки по зарегистрированным и незарегистрированным пользователям (конверсия относительно предыдущего этапа)" }, "showlegend": false, "height": 600, "width": 1200 }, "config": { "plotlyServerURL": "https://plot.ly" } }, "text/html": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "**Выводы.**\n", "\n", "Проведённый анализ показал, что из зарегистрированных пользователей наибольшее количество \"отваливается\" на этапе оформления покупки (его совершают лишь 72% пользователей, перешедших в корзину), а коэффициент брошенных корзин составляет 34%.\n", "\n", "Можно предположить, что некоторые пользователи заходят в корзину в надежде обнаружить скидку или промокод на покупку, сравнить цены с аналогами или же изучить отличия продукта от аналогичных товаров в нише, некоторые заходят, чтобы составить список желаемых покупок на будущее. Заставить этот тип покупателей приобрести товар будет крайне затруднительно. Важнее сфокусировать внимание на пользователях, готовых и способных совершить покупку, а также понимать, почему они этого не сделали. Возможно, их смутило возникновение какой-либо проблемы во время оформления заказа (слишком долгий процесс чекаута, невозможность рассчитать итоговую стоимость заказа заранее, недостаточное количество способов оплаты, ошибка применения промокода) или высокая стоимость доставки.\n", "\n", "Самым \"сложным\" этапом прохождения воронки продаж для незарегистрированных пользователей оказалась регистрация (её успешно проходят лишь 62% пользователей, перешедших в корзину), а коэффициент брошенных корзин по таким пользователям составил 56%. \n", "\n", "**Предложения.**\n", "\n", "\"Отвалившимся\" зарегистрированным пользователям через некоторое время после неудачного завершения процесса покупки необходимо направлять на электронную почту (у нас есть их контактные данные) письма с просьбой указать причину, по которой они не стали завершать покупку, ведь зная наиболее частые причины брошенных корзин мы сможем устранить их путем оптимизации приложения, доработки процесса чекаута или просчитать возможность снижения стоимости доставки. Такими действиями мы с большой вероятностью сможем повысить лояльность клиентов.\n", "\n", "Для уменьшения количества \"отваливающихся\" незарегистрированных пользователей нужно поработать над упрощением процесса регистрации (обязательно перепроверив его на баги) или добавить в него элементы геймификации, чтобы прогресс пользователя в заполнении данных о себе сопровождался неким повышением \"статуса\" или \"звания\", level-up, финальным уровнем которого будет завершение регистрации и получение пользователем награды в виде, к примеру, промокода (действующего определённое время после регистрации) или скидки / бесплатной доставки к первому заказу (можно продумать условие минимальной суммы заказа, чтобы ещё увеличить средний чек). Можно также рассмотреть возможность добавления функции быстрой покупки без регистрации (\"в один клик\"), так как некоторых пользователей мог просто смутить запрос на создание аккаунта в приложении.\n", "\n", "Вероятно, какая-то часть из всех \"отвалившихся\" пользователей может вернуться к заказу сама, но мы можем дополнительно попытаться улучшить коэффициент брошенных корзин, применив систему ремаркетинга - напомнив о товарах в корзине и, при возможности, предоставив скидку!" ], "metadata": { "id": "5_e9Wxw2oX-Y" } }, { "cell_type": "markdown", "source": [ "**3. Когортный анализ пользователей приложения.**" ], "metadata": { "id": "gXp7E-M6LT-t" } }, { "cell_type": "markdown", "source": [ "Для разделения пользователей на когорты по дате первого визита в приложение и дате первой покупки необходимо добавить в исходную таблицу столбцы с соответствующими датами.\n", "\n", "Создадим промежуточную таблицу *first_start_date_df*, содержащую данные о датах первых открытий приложения, сгруппированные по столбцу *device_id,* а также таблицу *first_purch_date_df*, содержащую данные о датах первых покупок, сгруппированные по столбцу *device_id.* Присоединим к исходной таблице *df* обе созданные ранее таблицы с датами по *device_id.*" ], "metadata": { "id": "PghdokogLoHN" } }, { "cell_type": "code", "source": [ "first_start_date_df = df[df['event'] == 'app_start'][['device_id', 'date']].groupby('device_id').agg(min).reset_index()\n", "first_start_date_df.rename({'date': 'first_start_date'}, axis=1, inplace=True)\n", "first_purch_date_df = df[df['event'] == 'purchase'][['device_id', 'date']].groupby('device_id').agg(min).reset_index()\n", "first_purch_date_df.rename({'date': 'first_purchase_date'}, axis=1, inplace=True)\n", "df = df.merge(first_start_date_df, how='left', on='device_id').merge(first_purch_date_df, how='left', on='device_id')" ], "metadata": { "id": "zjLTv-xBYc8N" }, "execution_count": 133, "outputs": [] }, { "cell_type": "markdown", "source": [ "Исходя из специфики бизнеса по доставке продуктов на дом сделаем предположение, что большинство пользователей в среднем делают заказ продуктов раз в неделю. В целях проведения когортного анализа будем формировать недельные когорты пользователей. \n", "\n", "Создадим копию таблицы *df* и назовём её *cohorts_df.* В ней мы переведём все даты событий, даты регистрации, даты первого открытия приложения и первой покупки в недели с помощью аксессора dt.to_period('W') и удалим ставшие ненужными столбцы. Добавим столбцы *fs_cohort_week* и *fp_cohort_week,* в которых посчитаем количество дней существования когорт по неделе первого посещения и по неделе первой покупки относительно каждого события, а затем конвертируем их в номера недель жизни когорт с помощью целочисленного деления на 7." ], "metadata": { "id": "m72Y1ASWV6We" } }, { "cell_type": "code", "source": [ "cohorts_df = df.copy()\n", "cohorts_df['week'] = cohorts_df['date'].dt.to_period('W').apply(lambda x: x.start_time)\n", "cohorts_df['register_cohort'] = cohorts_df['register_date'].dt.to_period('W').apply(lambda x: x.start_time)\n", "cohorts_df['first_start_cohort'] = cohorts_df['first_start_date'].dt.to_period('W').apply(lambda x: x.start_time)\n", "cohorts_df['first_purchase_cohort'] = cohorts_df['first_purchase_date'].dt.to_period('W').apply(lambda x: x.start_time)\n", "cohorts_df = cohorts_df.drop(columns=['date', 'install_date', 'install_same_day', 'register_date', 'previously_registered', 'first_start_date', 'first_purchase_date'])\n", "cohorts_df['fs_cohort_week'] = cohorts_df['week'] - cohorts_df['first_start_cohort']\n", "cohorts_df['fs_cohort_week'] = cohorts_df['fs_cohort_week'].apply(lambda x: x.days // 7 )\n", "cohorts_df['fp_cohort_week'] = cohorts_df['week'] - cohorts_df['first_purchase_cohort']\n", "cohorts_df['fp_cohort_week'] = cohorts_df['fp_cohort_week'].apply(lambda x: x.days // 7 )\n", "cohorts_df['fp_cohort_week'].fillna(0, inplace=True)\n", "cohorts_df['fp_cohort_week'] = cohorts_df['fp_cohort_week'].astype(int)\n", "display(cohorts_df.head())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "gvRcAufpazC1", "outputId": "3d37bb0f-20c0-4d3d-ce51-1d9990a49b32" }, "execution_count": 134, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " event purchase_sum os_name device_id gender city \\\n", "0 app_start NaN android 669460 female Moscow \n", "1 app_start NaN ios 833621 male Moscow \n", "2 app_start NaN android 1579237 male Saint-Petersburg \n", "3 app_start NaN android 1737182 female Moscow \n", "4 app_start NaN ios 4029024 female Moscow \n", "\n", " utm_source week register_cohort first_start_cohort \\\n", "0 not_defined 2019-12-30 2020-01-06 2019-12-30 \n", "1 vk_ads 2019-12-30 2019-12-30 2019-12-30 \n", "2 referal 2019-12-30 2019-12-30 2019-12-30 \n", "3 facebook_ads 2019-12-30 2019-12-30 2019-12-30 \n", "4 facebook_ads 2019-12-30 NaT 2019-12-30 \n", "\n", " first_purchase_cohort fs_cohort_week fp_cohort_week \n", "0 2020-01-06 0 -1 \n", "1 2019-12-30 0 0 \n", "2 2019-12-30 0 0 \n", "3 NaT 0 0 \n", "4 NaT 0 0 " ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
eventpurchase_sumos_namedevice_idgendercityutm_sourceweekregister_cohortfirst_start_cohortfirst_purchase_cohortfs_cohort_weekfp_cohort_week
0app_startNaNandroid669460femaleMoscownot_defined2019-12-302020-01-062019-12-302020-01-060-1
1app_startNaNios833621maleMoscowvk_ads2019-12-302019-12-302019-12-302019-12-3000
2app_startNaNandroid1579237maleSaint-Petersburgreferal2019-12-302019-12-302019-12-302019-12-3000
3app_startNaNandroid1737182femaleMoscowfacebook_ads2019-12-302019-12-302019-12-30NaT00
4app_startNaNios4029024femaleMoscowfacebook_ads2019-12-30NaT2019-12-30NaT00
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Теперь сформируем когорты пользователей по неделе первого посещения. Для этого создадим сводную таблицу *fs_cohort_df,* в которой подсчитаем количество уникальных пользователей в каждой когорте понедельно в динамике за весь срок существования когорты. На основании полученной таблицы создадим также таблицу *fs_cohort_df2,* в которой посчитаем возвращаемость пользователей сформированных когорт. Для визуализации полученных результатов используем тепловую карту из библиотеки seaborn. Импортируем необходимые библиотеки. По оси абсцисс расположим номера недель жизни когорт, по оси ординат - когорты по неделе первого посещения." ], "metadata": { "id": "oWfpBtmFAsv_" } }, { "cell_type": "code", "source": [ "fs_cohort_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'app_start'], index='first_start_cohort', columns='fs_cohort_week', values='device_id', aggfunc='nunique').reset_index()\n", "fs_cohort_df['first_start_cohort'] = fs_cohort_df['first_start_cohort'].astype(str)\n", "fs_cohort_df.set_index('first_start_cohort', inplace=True)\n", "fs_cohort_df2 = fs_cohort_df.apply(lambda x: round(x * 100 / fs_cohort_df[0]))\n", "print('Ответ на вопрос Задания 1.2.1: Самой активной когортой по неделе первого посещения стала когорта {}.'.format(fs_cohort_df.sum(axis=1).sort_values(ascending=False).index[0]))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OwI4f_e5dycm", "outputId": "ff5f0804-a80a-46e7-e4ed-7db2840236e0" }, "execution_count": 135, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Ответ на вопрос Задания 1.2.1: Самой активной когортой по неделе первого посещения стала когорта 2019-12-30.\n" ] } ] }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fs_cohort_df, annot=True, fmt=',.0f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=150, vmax=30000)\n", "fig.set_title('Активность пользователей когорт по неделе первого посещения, чел.', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первого посещения', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 627 }, "id": "OsEBkWuhehdc", "outputId": "a7baec1e-5718-4fa2-cb09-722ecc2c65f6" }, "execution_count": 136, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fs_cohort_df2, annot=True, fmt='.0f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=2, vmax=50)\n", "fig.set_title('Возвращаемость пользователей когорт по неделе первого посещения, %', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первого посещения', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 627 }, "id": "WhowrDa0fFg8", "outputId": "a007d1a6-804d-49a9-b542-3c2920bf74eb" }, "execution_count": 137, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***Самой многочисленной когортой по неделе первого посещения является когорта от 06.01.2020г. Самой активной когортой является когорта 30.12.2019г. (абсолютный лидер по возвращаемости пользователей среди когорт, возвращаемость по остальным когортам падает заметно быстрее начиная уже с первой недели жизни).*** " ], "metadata": { "id": "SROB0R8DnP5z" } }, { "cell_type": "markdown", "source": [ "Теперь сформируем когорты пользователей по неделе первой покупки. Для этого создадим сводную таблицу *fp_cohort_df,* в которой подсчитаем количество уникальных пользователей в каждой когорте понедельно в динамике за весь срок существования когорты. На основании полученной таблицы создадим также таблицу *fp_cohort_df2,* в которой посчитаем коэффициент повторных покупок (Repeat Purchase Rate) пользователей сформированных когорт. Визуализируем полученные результаты с помощью тепловой карты. По оси абсцисс расположим номера недель жизни когорт, по оси ординат - когорты по неделе первой покупки." ], "metadata": { "id": "jC22_UrVhF9T" } }, { "cell_type": "code", "source": [ "fp_cohort_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', columns='fp_cohort_week', values='device_id', aggfunc='nunique').reset_index()\n", "fp_cohort_df['first_purchase_cohort'] = fp_cohort_df['first_purchase_cohort'].astype(str)\n", "fp_cohort_df.set_index('first_purchase_cohort', inplace=True)\n", "fp_cohort_df2 = fp_cohort_df.apply(lambda x: round(x * 100 / fp_cohort_df[0]))" ], "metadata": { "id": "UWkmT8w0iv2V" }, "execution_count": 138, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fp_cohort_df, annot=True, fmt=',.0f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=50, vmax=10000)\n", "fig.set_title('Активность пользователей когорт по неделе первой покупки, чел.', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 627 }, "id": "_D4as6Foi6kw", "outputId": "85bcddaa-9db1-4fa6-fc7d-4c31e02fc3e1" }, "execution_count": 139, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fp_cohort_df2, annot=True, fmt='.0f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=1, vmax=25)\n", "fig.set_title('Коэффициент повторных покупок (Repeat purchase rate), %', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 627 }, "id": "SZWdMvmD6b6m", "outputId": "37d693da-5847-462a-de23-87ad6e17bc41" }, "execution_count": 140, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***Самой активной когортой по неделе первой покупки является когорта от 30.12.2019г. (абсолютный лидер по коэффициенту повторных покупок, у остальных когорт коэффициент падает сильнее, начиная с первой недели жизни). Самой многочисленной является когорта от 13.01.2020г.*** Динамика численности когорт по неделе первой покупки приблизительно повторяет динамику численности когорт по неделе привлечения, однако заметно снижение доли привлекаемых пользователей, в итоге переходящих к заказу товаров." ], "metadata": { "id": "UCRhRM6guMz0" } }, { "cell_type": "markdown", "source": [ "Посмотрим на размер медианного чека у когорт по неделе первой покупки. Для этого создадим сводную таблицу *fp_cohort_median_df,* в которой подсчитаем сумму медианного чека в каждой когорте понедельно в динамике за весь срок существования когорты. Для визуализации полученных результатов снова используем тепловую карту. По оси абсцисс расположим номера недель жизни когорт, по оси ординат - когорты по неделе первой покупки." ], "metadata": { "id": "ojLCSdtmkjnS" } }, { "cell_type": "code", "source": [ "fp_cohort_median_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', columns='fp_cohort_week', values='purchase_sum', aggfunc='median').reset_index()\n", "print('Ответ на вопрос Задания 1.2.4: Медианный чек на неделе первой покупки выше у когорты {}.'.format(fp_cohort_median_df.iloc[fp_cohort_median_df[0].argmax(), 0].strftime('%d-%m-%Y')))\n", "fp_cohort_median_df['first_purchase_cohort'] = fp_cohort_median_df['first_purchase_cohort'].astype(str)\n", "fp_cohort_median_df.set_index('first_purchase_cohort', inplace=True)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "WdqZ6_X58grg", "outputId": "d9f34aaa-3b6b-41cc-8664-e769aaf653ac" }, "execution_count": 141, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Ответ на вопрос Задания 1.2.4: Медианный чек на неделе первой покупки выше у когорты 09-03-2020.\n" ] } ] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fp_cohort_median_df, annot=True, fmt='.1f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=330, vmax=450)\n", "fig.set_title('Медианный чек когорт по неделе первой покупки, руб.', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 629 }, "id": "Ap7LpBp09XB2", "outputId": "b07d8bc5-eb59-4e55-aba1-9794fefc75e4" }, "execution_count": 142, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "По размеру медианного чека уверенного лидера среди когорт нет, можно выделить когорту 13.01.2020г., размер медианного чека которой имеет стабильную тенденцию роста, в остальных когортах динамика показателя разнонаправленная." ], "metadata": { "id": "1U7tZV0s3kHa" } }, { "cell_type": "markdown", "source": [ "Определим диапазоны значений медианного чека по когортам, для чего сформируем таблицу median_range_df, в которой соберём минимальные и максимальные показатели." ], "metadata": { "id": "BrtAyjUTDQSY" } }, { "cell_type": "code", "source": [ "median_range_df = pd.DataFrame({'min_median': fp_cohort_median_df.min(axis=1, numeric_only=True), 'max_median': fp_cohort_median_df.max(axis=1, numeric_only=True)}).reset_index()\n", "median_range_df = round(median_range_df, 2)\n", "display(median_range_df)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 488 }, "id": "WWxeUy-KBKjm", "outputId": "4e1b7e2a-87d8-4feb-c0f6-da5ced9a3b74" }, "execution_count": 143, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " first_purchase_cohort min_median max_median\n", "0 2019-12-30 369.50 405.50\n", "1 2020-01-06 371.00 420.25\n", "2 2020-01-13 385.25 423.50\n", "3 2020-01-20 366.50 452.75\n", "4 2020-01-27 353.00 401.00\n", "5 2020-02-03 327.25 419.00\n", "6 2020-02-10 364.50 431.25\n", "7 2020-02-17 388.25 421.50\n", "8 2020-02-24 375.50 415.50\n", "9 2020-03-02 393.50 430.00\n", "10 2020-03-09 365.75 401.50\n", "11 2020-03-16 379.50 431.50\n", "12 2020-03-23 395.75 424.75\n", "13 2020-03-30 381.75 381.75" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
first_purchase_cohortmin_medianmax_median
02019-12-30369.50405.50
12020-01-06371.00420.25
22020-01-13385.25423.50
32020-01-20366.50452.75
42020-01-27353.00401.00
52020-02-03327.25419.00
62020-02-10364.50431.25
72020-02-17388.25421.50
82020-02-24375.50415.50
92020-03-02393.50430.00
102020-03-09365.75401.50
112020-03-16379.50431.50
122020-03-23395.75424.75
132020-03-30381.75381.75
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Посмотрим на размер среднего чека у когорт по неделе первой покупки. Для этого создадим сводную таблицу *fp_cohort_mean_df,* в которой подсчитаем сумму среднего чека в каждой когорте понедельно в динамике за весь срок существования когорты. Визуализируем полученные результаты с помощью тепловой карты." ], "metadata": { "id": "1pD2JhAum71q" } }, { "cell_type": "code", "source": [ "fp_cohort_mean_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', columns='fp_cohort_week', values='purchase_sum', aggfunc='mean').reset_index()\n", "fp_cohort_mean_df['first_purchase_cohort'] = fp_cohort_mean_df['first_purchase_cohort'].astype(str)\n", "fp_cohort_mean_df.set_index('first_purchase_cohort', inplace=True)" ], "metadata": { "id": "CndmAjI2YBoW" }, "execution_count": 144, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fp_cohort_mean_df, annot=True, fmt='.1f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=530, vmax=1000)\n", "fig.set_title('Средний чек когорт по неделе первой покупки, руб.', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 629 }, "id": "wCVWSkM0YQt1", "outputId": "e2c9a02a-84e9-4ced-c487-9b14d236de6d" }, "execution_count": 145, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "По недельному среднему чеку выделить какую-либо когорту со стабильно растущим показателем не представляется возможным, динамика разнонаправленная. Наименьший разброс значений наблюдается в когорте 30.12.2019г." ], "metadata": { "id": "oJh5xH-vQB4K" } }, { "cell_type": "markdown", "source": [ "Определим диапазоны значений среднего чека по когортам, для чего сформируем таблицу mean_range_df, в которой соберём минимальные и максимальные показатели." ], "metadata": { "id": "3xEpMBceGBiF" } }, { "cell_type": "code", "source": [ "mean_range_df = pd.DataFrame({'min_mean': fp_cohort_mean_df.min(axis=1, numeric_only=True), 'max_mean': fp_cohort_mean_df.max(axis=1, numeric_only=True)}).reset_index()\n", "mean_range_df = round(mean_range_df, 2)\n", "display(mean_range_df)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 488 }, "id": "Ev8uefMFGHt-", "outputId": "b731aaee-eee9-4b46-ea81-1f01f268dd90" }, "execution_count": 146, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " first_purchase_cohort min_mean max_mean\n", "0 2019-12-30 641.12 756.62\n", "1 2020-01-06 636.61 771.55\n", "2 2020-01-13 635.41 848.61\n", "3 2020-01-20 655.91 813.67\n", "4 2020-01-27 625.78 971.07\n", "5 2020-02-03 524.19 827.88\n", "6 2020-02-10 651.68 847.01\n", "7 2020-02-17 690.07 815.42\n", "8 2020-02-24 630.97 811.24\n", "9 2020-03-02 690.39 773.09\n", "10 2020-03-09 595.67 1075.13\n", "11 2020-03-16 696.46 1086.74\n", "12 2020-03-23 726.35 781.62\n", "13 2020-03-30 747.07 747.07" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
first_purchase_cohortmin_meanmax_mean
02019-12-30641.12756.62
12020-01-06636.61771.55
22020-01-13635.41848.61
32020-01-20655.91813.67
42020-01-27625.78971.07
52020-02-03524.19827.88
62020-02-10651.68847.01
72020-02-17690.07815.42
82020-02-24630.97811.24
92020-03-02690.39773.09
102020-03-09595.671075.13
112020-03-16696.461086.74
122020-03-23726.35781.62
132020-03-30747.07747.07
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Чтобы понять, в какой когорте сосредоточены платящие клиенты, приносящие максимальный доход, рассчитаем метрику ARPPU (средний доход на одного платящего пользователя). Для начала создадим сводную таблицу *fp_cohort_revenue_df,* в которой подсчитаем понедельно суммы продаж в каждой когорте. Разделим полученные данные по продажам на еженедельное количество уникальных платящих клиентов по когортам из таблицы *fp_cohort_df* и результат запишем в переменную *fp_cohort_arppu_df*. Визуализируем полученные результаты с помощью тепловой карты. По оси абсцисс расположим номера недель жизни когорт, по оси ординат - когорты по неделе первой покупки." ], "metadata": { "id": "hABdz-ueOXOQ" } }, { "cell_type": "code", "source": [ "fp_cohort_revenue_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', columns='fp_cohort_week', values='purchase_sum', aggfunc='sum').reset_index()\n", "fp_cohort_revenue_df['first_purchase_cohort'] = fp_cohort_revenue_df['first_purchase_cohort'].astype(str)\n", "fp_cohort_revenue_df.set_index('first_purchase_cohort', inplace=True)\n", "fp_cohort_arppu_df = fp_cohort_revenue_df / fp_cohort_df" ], "metadata": { "id": "3ag8J7RaMcuu" }, "execution_count": 147, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(fp_cohort_arppu_df, annot=True, fmt=',.0f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=500, vmax=1100)\n", "fig.set_title('Средний доход на одного платящего клиента (ARPPU), руб.', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 629 }, "id": "SvHVJQXoOJql", "outputId": "5da76638-fb54-4e42-9682-922b154ebd34" }, "execution_count": 148, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***Когорта 30.12.2019г. практически на протяжении всего срока жизни имеет наибольший ARPPU среди всех когорт по неделе первой покупки.***" ], "metadata": { "id": "n_oPUjixhxH4" } }, { "cell_type": "markdown", "source": [ "Рассчитаем метрику Purchase Frequency (частота покупок). Для этого создадим сводную таблицу *fp_cohort_purchases_df,* в которой подсчитаем понедельно количество продаж в каждой когорте. Разделим полученные данные на еженедельное количество уникальных платящих клиентов по когортам из таблицы *fp_cohort_df* и результат запишем в переменную *purchases_frequency_df*. Визуализируем полученные результаты с помощью тепловой карты. По оси абсцисс расположим номера недель жизни когорт, по оси ординат - когорты по неделе первой покупки." ], "metadata": { "id": "vkneiaS1Yl26" } }, { "cell_type": "code", "source": [ "fp_cohort_purchases_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', columns='fp_cohort_week', values='event', aggfunc=len).reset_index()\n", "fp_cohort_purchases_df['first_purchase_cohort'] = fp_cohort_purchases_df['first_purchase_cohort'].astype(str)\n", "fp_cohort_purchases_df.set_index('first_purchase_cohort', inplace=True)\n", "purchase_frequency_df = fp_cohort_purchases_df / fp_cohort_df" ], "metadata": { "id": "ZwtNzrzAPLQ0" }, "execution_count": 149, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 10))\n", "fig = sns.heatmap(purchase_frequency_df, annot=True, fmt='.1f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=1, vmax=1.5)\n", "fig.set_title('Частота совершения покупок (Purchase Frequency), раз', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Когорта по неделе первой покупки', size= 14)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 627 }, "id": "o0iOOPiQWT9Y", "outputId": "226affd3-409d-4a9b-d368-073b0aed5233" }, "execution_count": 150, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***Частота совершения покупок клиентами из когорты 30.12.2019г. выше, чем у остальных когорт. В среднем активные клиенты этой когорты совершают 1,4 покупки в неделю.***" ], "metadata": { "id": "Zfv5ke61iZbb" } }, { "cell_type": "markdown", "source": [ "Посмотрим на то, какая когорта принесла нам больше всего денег за период своего существования. Для этого создадим сводную таблицу *fp_cohort_LTV_df,* в которой подсчитаем итоговую сумму продаж в каждой когорте по неделе первой покупки." ], "metadata": { "id": "dgxw2wETi-Ir" } }, { "cell_type": "code", "source": [ "fp_cohort_LTV_df = pd.pivot_table(cohorts_df[cohorts_df['event'] == 'purchase'], index='first_purchase_cohort', values='purchase_sum', aggfunc='sum').reset_index()\n", "fp_cohort_LTV_df.rename({'purchase_sum': 'LTV'}, axis=1, inplace=True)\n", "display(fp_cohort_LTV_df)\n", "print()\n", "print('Ответ на вопрос Задания 1.2.3: Больше всего денег принесла когорта {}.'.format(fp_cohort_LTV_df.iloc[fp_cohort_LTV_df['LTV'].argmax(), 0].strftime('%d-%m-%Y')))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 523 }, "id": "uTvPRLpb4LS-", "outputId": "7ecfb516-7b15-47bd-d724-e8a1ef6bd2d2" }, "execution_count": 151, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " first_purchase_cohort LTV\n", "0 2019-12-30 12320177.5\n", "1 2020-01-06 19787838.0\n", "2 2020-01-13 18852452.0\n", "3 2020-01-20 9018049.5\n", "4 2020-01-27 7432634.0\n", "5 2020-02-03 6305237.0\n", "6 2020-02-10 6766314.0\n", "7 2020-02-17 5398837.5\n", "8 2020-02-24 3067633.5\n", "9 2020-03-02 3629773.0\n", "10 2020-03-09 2099374.5\n", "11 2020-03-16 2099173.0\n", "12 2020-03-23 2895260.0\n", "13 2020-03-30 584207.0" ], "text/html": [ "\n", "
\n", "
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
first_purchase_cohortLTV
02019-12-3012320177.5
12020-01-0619787838.0
22020-01-1318852452.0
32020-01-209018049.5
42020-01-277432634.0
52020-02-036305237.0
62020-02-106766314.0
72020-02-175398837.5
82020-02-243067633.5
92020-03-023629773.0
102020-03-092099374.5
112020-03-162099173.0
122020-03-232895260.0
132020-03-30584207.0
\n", "
\n", " \n", " \n", " \n", "\n", " \n", "
\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Ответ на вопрос Задания 1.2.3: Больше всего денег принесла когорта 06-01-2020.\n" ] } ] }, { "cell_type": "markdown", "source": [ "***Когорта от 06.01.2020г. заработала больше всего денег за период своего существования. Максимальная численность когорты от 13.01.2020г. позволила ей стать второй по результативности, несмотря на самые низкие из тройки лидеров показатели ARPPU и Repeat purchase rate. Когорта 30.12.2019г., имея самые высокие показатели ARPPU и Repeat purchase rate, заняла лишь 3-е место в списке самых результативных когорт по сумме заработанных денег, что произошло по причине её малочисленности (4464 чел. в сравнении с 10903 чел. и 13621 чел. в когортах-лидерах).***" ], "metadata": { "id": "P5rIQaKPL0yS" } }, { "cell_type": "markdown", "source": [ "Проведём небольшое исследование состава когорты, оказавшейся наилучшей по показателям возвращаемости, ARPPU и частоты покупок, чтобы попытаться составить \"портрет\" наших самых лояльных и прибыльных клиентов.\n", "\n", "Для этого создадим копию таблицы *cohort_df,* оставив только события \"покупка\", совершённые пользователями когорты 30.12.2019г., и запишем её в переменную *first_fp_cohort_df.* Создадим из неё сводную таблицу, в которой в качестве строк используем такие данные о клиенте, как город, пол и ОС устройства, в качестве столбцов номера недель жизни когорты, а в значениях посчитаем количество уникальных пользователей. Визуализируем полученные результаты с помощью тепловой карты. По оси абсцисс расположим номера недель жизни когорты, по оси ординат - подгруппы в разрезе города, пола пользователей и ОС устройства." ], "metadata": { "id": "Jduce4x4T2R3" } }, { "cell_type": "code", "source": [ "first_fp_cohort_df = cohorts_df[(cohorts_df['event'] == 'purchase') & (cohorts_df['first_purchase_cohort'] == '2019-12-30')].copy()\n", "first_fp_cohort_df = pd.pivot_table(first_fp_cohort_df, values='device_id', index=['city', 'gender', 'os_name'], columns='fp_cohort_week', aggfunc='nunique')\n", "first_fp_cohort_df = first_fp_cohort_df.apply(lambda x: round(x * 100 / x.sum(), 1))" ], "metadata": { "id": "Xj-9qsfYZyhH" }, "execution_count": 152, "outputs": [] }, { "cell_type": "code", "source": [ "plt.figure(figsize=(20, 6))\n", "fig = sns.heatmap(first_fp_cohort_df, annot=True, fmt='.1f', annot_kws={'size': 11}, cmap= 'Blues', linewidths= 1, vmin=5, vmax=20)\n", "fig.set_title('Состав покупателей когорты 30-12-2019 по неделе первой покупки, %', size= 16)\n", "fig.set_xlabel('Номер недели', size= 14)\n", "fig.set_ylabel('Город, пол и ОС устройства', size= 13)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 410 }, "id": "-nhxriEbahLP", "outputId": "879d1fbf-3859-4a8e-cc95-7c3f2650e8bd" }, "execution_count": 153, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "В момент формирования когорты она состояла на 57% из жителей Москвы и на 43% из жителей Санкт-Петербурга. В период жизни когорты можно заметить постепенное снижение доли пользователей из Москвы - к концу рассматриваемого периода она снизилась до 49%. Снижение доли произошло за счёт сильного оттока пользователей мужского пола (с 29% при формировании когорты их доля упала до 18% в конце периода) вне зависимости от ОС устройства, при этом доля пользователей женского пола выросла (с 28% при формировании когорты до 32% в конце периода). Рост доли пользователей из Санкт-Петербурга сформирован увеличением долей пользователей женского пола (с 24% при формировании когорты их доля выросла до 29% в конце периода) и мужского пола (с 20% увеличилась до 22% в конце периода). \n", "\n", "По гендерному составу в момент формирования когорта состояла из двух практически равных частей: пользователи женского пола составили 52%, а мужского - 48%. Однако к концу рассматриваемого периода структура изменилась: пользователи женского пола составили 60%, а мужского - 40%.\n", "\n", "**Выводы.**\n", "\n", "Сложившаяся ситуация с резким снижением возвращаемости пользователей в сервис уже со второй недели использования и дальнейшим падением к нему интереса наглядно иллюстрирует нам то, что можно привлекать качественный трафик и наращивать аудиторию, но без достаточных усилий по удержанию клиентов мы будем бесконечно тратить деньги. Согласно статьи The Value of Keeping the Right Customers (Ценность удержания нужных клиентов), опубликованной на сайте Harvard Business Review, привлечь нового клиента стоит в 5–25 раз дороже, чем удержать существующего **(1).** В статье \"Prescription for cutting costs\" (Рецепт для сокращения расходов) аналитик компании Bain & Company, входящей в «большую тройку» лидеров управленческого консалтинга, указывает на то, что по результатам исследований увеличение показателя retention на 5% влечет за собой рост дохода более чем на 25% **(2).** Именно удерживая пользователей и превращая их в лояльных клиентов, мы можем рассчитывать на рост. \n", "\n", "По результатам проведённого когортного анализа пользователей наиболее перспективной для проведения дальнейшего исследования является когорта покупателей от 30.12.2019г. Она имеет самые высокие показатели Repeat purchase rate, ARPPU и Purchase Frequency. Проведя исследование этой когорты можно использовать полученные выводы в работе с пользователями более многочисленных когорт, сделать работу над ошибками и применить их при разработке новой маркетинговой стратегии.\n", "\n", "Из проведённого нами исследования состава указанной когорты можно сделать вывод, что наиболее лояльной аудиторией оказались пользователи женского пола, а меньше всего наш сервис устроил пользователей мужского пола (необходим более детальный анализ обеих подгрупп). \n", "Также прослеживается некоторое влияние ОС устройств на динамику состава когорты: пользователи с устройствами на ОС ios при прочих равных условиях либо показывают большее снижение доли, либо меньший её рост. Необходимо более детальное исследование, возможно в приложении под ОС ios есть какие-то баги/сложности.\n", "\n", "**Предложения.**\n", "\n", "Для улучшения удержания пользователей в нашем сервисе необходимо предпринять несколько шагов:\n", "1. Продумать эффективную программу лояльности, которая из простых клиентов сделает постоянных, ведь как показывают результаты глобального исследования The Loyalty Report 2020, проведённого Visa и Bond Brand Loyalty, участники персонализированной программы лояльности остаются с брендом в 5.4 раза дольше и тратят в 6.4 раза больше **(3).** Своими рекомендациями такие клиенты бесплатно приведут к нам новых клиентов и благотворно повлияют на имидж компании. \n", "\n", "2. Периодически устраивать конкурсы, розыгрыши и акции, проводить опросы, увеличивая, таким образом, целевую аудиторию. Опросы также помогут выявить проблемы с интерфейсом или работоспособностью приложения, со скоростью доставки заказов или с недостаточным ассортиментом товаров. \n", "\n", "3. Использовать товарные рекомендации с учетом истории покупок, персональные подборки товаров, скидки на товары, которые ранее просматривал пользователь или добавил в список желаний.\n", "\n", "4. Давать клиентам возможность оставлять обратную связь о компании, анализировать её, отвечать на комментарии, разбирать конфликтные ситуации и решать их. Это вызовет доверие со стороны текущих и даже потенциальных клиентов." ], "metadata": { "id": "rQB_vsb9Zap2" } }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n", "***Источники:***\n", "\n", "(1) https://hbr.org/2014/10/the-value-of-keeping-the-right-customers\n", "\n", "(2) https://media.bain.com/Images/BB_Prescription_cutting_costs.pdf\n", "\n", "(3) https://retail-loyalty.org/news/trendy-programm-loyalnosti-v-2020-godu-issledovanie-visa-i-bond-brand-loyalty-/" ], "metadata": { "id": "upj5HrIrOsj4" } } ] }